# Computation times **17:15.271** total execution time for 96 files **from all galleries**: | Example | Time | Mem (MB) | |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|------------| | [Reducing the memory and computational complexity of unfolded network training](https://deepinv.org/auto_examples/unfolded/demo_unfolded_constant_memory.html.md#sphx-glr-auto-examples-unfolded-demo-unfolded-constant-memory-py) (`../../examples/unfolded/demo_unfolded_constant_memory.py`) | 02:09.468 | 0 | | [Fitting NIQE on a custom dataset](https://deepinv.org/auto_examples/metrics/demo_custom_niqe.html.md#sphx-glr-auto-examples-metrics-demo-custom-niqe-py) (`../../examples/metrics/demo_custom_niqe.py`) | 01:04.459 | 0 | | [Inverse scattering problem](https://deepinv.org/auto_examples/physics/demo_scattering.html.md#sphx-glr-auto-examples-physics-demo-scattering-py) (`../../examples/physics/demo_scattering.py`) | 00:59.426 | 0 | | [Self-supervised learning with Equivariant Splitting](https://deepinv.org/auto_examples/self-supervised-learning/demo_equivariant_splitting.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-equivariant-splitting-py) (`../../examples/self-supervised-learning/demo_equivariant_splitting.py`) | 00:58.833 | 0 | | [Deep Equilibrium (DEQ) algorithms for image deblurring](https://deepinv.org/auto_examples/unfolded/demo_DEQ.html.md#sphx-glr-auto-examples-unfolded-demo-deq-py) (`../../examples/unfolded/demo_DEQ.py`) | 00:51.066 | 0 | | [Blind deblurring with kernel estimation network](https://deepinv.org/auto_examples/blind-inverse-problems/demo_blind_deblurring.html.md#sphx-glr-auto-examples-blind-inverse-problems-demo-blind-deblurring-py) (`../../examples/blind-inverse-problems/demo_blind_deblurring.py`) | 00:41.332 | 0 | | [Scan-specific zero-shot SSDU for MRI](https://deepinv.org/auto_examples/self-supervised-learning/demo_scan_specific.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-scan-specific-py) (`../../examples/self-supervised-learning/demo_scan_specific.py`) | 00:39.077 | 0 | | [Reconstruct undersampled k-space for cardiac and brain MRI](https://deepinv.org/auto_examples/models/demo_mri_pretrained.html.md#sphx-glr-auto-examples-models-demo-mri-pretrained-py) (`../../examples/models/demo_mri_pretrained.py`) | 00:37.327 | 0 | | [Vanilla Unfolded algorithm for super-resolution](https://deepinv.org/auto_examples/unfolded/demo_vanilla_unfolded.html.md#sphx-glr-auto-examples-unfolded-demo-vanilla-unfolded-py) (`../../examples/unfolded/demo_vanilla_unfolded.py`) | 00:31.897 | 0 | | [3D PET reconstruction with the Brainweb dataset](https://deepinv.org/auto_examples/physics/demo_pet_brainweb_3d.html.md#sphx-glr-auto-examples-physics-demo-pet-brainweb-3d-py) (`../../examples/physics/demo_pet_brainweb_3d.py`) | 00:31.715 | 0 | | [Reconstruct prospectively-undersampled raw multicoil MRI](https://deepinv.org/auto_examples/models/demo_prospective_mri.html.md#sphx-glr-auto-examples-models-demo-prospective-mri-py) (`../../examples/models/demo_prospective_mri.py`) | 00:30.987 | 0 | | [Benchmarking pretrained denoisers](https://deepinv.org/auto_examples/models/demo_denoiser_tour.html.md#sphx-glr-auto-examples-models-demo-denoiser-tour-py) (`../../examples/models/demo_denoiser_tour.py`) | 00:27.771 | 0 | | [Self-supervised learning from incomplete measurements of multiple operators.](https://deepinv.org/auto_examples/self-supervised-learning/demo_multioperator_imaging.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-multioperator-imaging-py) (`../../examples/self-supervised-learning/demo_multioperator_imaging.py`) | 00:23.383 | 0 | | [Use iterative reconstruction algorithms](https://deepinv.org/auto_examples/basics/demo_custom_optim.html.md#sphx-glr-auto-examples-basics-demo-custom-optim-py) (`../../examples/basics/demo_custom_optim.py`) | 00:21.069 | 0 | | [Reconstruct real CT sinograms with the 2DeteCT benchmark](https://deepinv.org/auto_examples/external-libraries/demo_astra_2detect.html.md#sphx-glr-auto-examples-external-libraries-demo-astra-2detect-py) (`../../examples/external-libraries/demo_astra_2detect.py`) | 00:19.111 | 0 | | [Learned Primal-Dual algorithm for CT scan.](https://deepinv.org/auto_examples/unfolded/demo_learned_primal_dual.html.md#sphx-glr-auto-examples-unfolded-demo-learned-primal-dual-py) (`../../examples/unfolded/demo_learned_primal_dual.py`) | 00:17.632 | 0 | | [Distributed Training of Unfolded Networks](https://deepinv.org/auto_examples/distributed/demo_unrolled_distributed.html.md#sphx-glr-auto-examples-distributed-demo-unrolled-distributed-py) (`../../examples/distributed/demo_unrolled_distributed.py`) | 00:16.442 | 0 | | [Learned Iterative Soft-Thresholding Algorithm (LISTA) for compressed sensing](https://deepinv.org/auto_examples/unfolded/demo_LISTA.html.md#sphx-glr-auto-examples-unfolded-demo-lista-py) (`../../examples/unfolded/demo_LISTA.py`) | 00:15.213 | 0 | | [In-vivo ultrafast ultrasound reconstruction with Plug-and-Play](https://deepinv.org/auto_examples/plug-and-play/demo_ultrasound_invivo_PnP.html.md#sphx-glr-auto-examples-plug-and-play-demo-ultrasound-invivo-pnp-py) (`../../examples/plug-and-play/demo_ultrasound_invivo_PnP.py`) | 00:14.115 | 0 | | [Training a reconstruction model](https://deepinv.org/auto_examples/models/demo_training.html.md#sphx-glr-auto-examples-models-demo-training-py) (`../../examples/models/demo_training.py`) | 00:14.074 | 0 | | [Unfolded Chambolle-Pock for constrained image inpainting](https://deepinv.org/auto_examples/unfolded/demo_unfolded_constrained_LISTA.html.md#sphx-glr-auto-examples-unfolded-demo-unfolded-constrained-lista-py) (`../../examples/unfolded/demo_unfolded_constrained_LISTA.py`) | 00:12.983 | 0 | | [Using state-of-the-art diffusion models from HuggingFace Diffusers with DeepInverse](https://deepinv.org/auto_examples/sampling/demo_diffusers.html.md#sphx-glr-auto-examples-sampling-demo-diffusers-py) (`../../examples/sampling/demo_diffusers.py`) | 00:10.587 | 0 | | [Flow-Matching for posterior sampling and unconditional generation](https://deepinv.org/auto_examples/sampling/demo_flow_matching.html.md#sphx-glr-auto-examples-sampling-demo-flow-matching-py) (`../../examples/sampling/demo_flow_matching.py`) | 00:09.998 | 0 | | [Low-field MRI denoising without ground truth](https://deepinv.org/auto_examples/self-supervised-learning/demo_lowfieldmri.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-lowfieldmri-py) (`../../examples/self-supervised-learning/demo_lowfieldmri.py`) | 00:09.531 | 0 | | [Learned iterative custom prior](https://deepinv.org/auto_examples/unfolded/demo_custom_prior_unfolded.html.md#sphx-glr-auto-examples-unfolded-demo-custom-prior-unfolded-py) (`../../examples/unfolded/demo_custom_prior_unfolded.py`) | 00:08.847 | 0 | | [Inference and fine-tune a foundation model](https://deepinv.org/auto_examples/models/demo_foundation_model.html.md#sphx-glr-auto-examples-models-demo-foundation-model-py) (`../../examples/models/demo_foundation_model.py`) | 00:08.583 | 0 | | [Building your diffusion posterior sampling method using SDEs](https://deepinv.org/auto_examples/sampling/demo_diffusion_sde.html.md#sphx-glr-auto-examples-sampling-demo-diffusion-sde-py) (`../../examples/sampling/demo_diffusion_sde.py`) | 00:08.499 | 0 | | [Self-supervised learning with measurement splitting](https://deepinv.org/auto_examples/self-supervised-learning/demo_splitting_loss.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-splitting-loss-py) (`../../examples/self-supervised-learning/demo_splitting_loss.py`) | 00:08.187 | 0 | | [Reconstruct accelerated non-Cartesian breast MRI acquisition data](https://deepinv.org/auto_examples/external-libraries/demo_mrinufft_breast.html.md#sphx-glr-auto-examples-external-libraries-demo-mrinufft-breast-py) (`../../examples/external-libraries/demo_mrinufft_breast.py`) | 00:08.183 | 0 | | [5 minute quickstart tutorial](https://deepinv.org/auto_examples/basics/demo_quickstart.html.md#sphx-glr-auto-examples-basics-demo-quickstart-py) (`../../examples/basics/demo_quickstart.py`) | 00:07.778 | 0 | | [Distributed Plug-and-Play (PnP) Reconstruction](https://deepinv.org/auto_examples/distributed/demo_pnp_distributed.html.md#sphx-glr-auto-examples-distributed-demo-pnp-distributed-py) (`../../examples/distributed/demo_pnp_distributed.py`) | 00:07.358 | 0 | | [Radio interferometric imaging with deepinverse](https://deepinv.org/auto_examples/external-libraries/demo_ri_basic.html.md#sphx-glr-auto-examples-external-libraries-demo-ri-basic-py) (`../../examples/external-libraries/demo_ri_basic.py`) | 00:07.332 | 0 | | [Spatial unwrapping and modulo imaging](https://deepinv.org/auto_examples/physics/demo_spatial_unwrapping.html.md#sphx-glr-auto-examples-physics-demo-spatial-unwrapping-py) (`../../examples/physics/demo_spatial_unwrapping.py`) | 00:07.285 | 0 | | [Noisy data-fidelity terms for diffusion posterior sampling](https://deepinv.org/auto_examples/sampling/demo_noisy_data_fidelity.html.md#sphx-glr-auto-examples-sampling-demo-noisy-data-fidelity-py) (`../../examples/sampling/demo_noisy_data_fidelity.py`) | 00:07.174 | 0 | | [Distributed Physics Operators](https://deepinv.org/auto_examples/distributed/demo_physics_distributed.html.md#sphx-glr-auto-examples-distributed-demo-physics-distributed-py) (`../../examples/distributed/demo_physics_distributed.py`) | 00:06.996 | 0 | | [Implementing DiffPIR](https://deepinv.org/auto_examples/sampling/demo_diffpir.html.md#sphx-glr-auto-examples-sampling-demo-diffpir-py) (`../../examples/sampling/demo_diffpir.py`) | 00:06.893 | 0 | | [Distributed Denoiser with Image Tiling](https://deepinv.org/auto_examples/distributed/demo_denoiser_distributed.html.md#sphx-glr-auto-examples-distributed-demo-denoiser-distributed-py) (`../../examples/distributed/demo_denoiser_distributed.py`) | 00:06.874 | 0 | | [Self-supervised denoising with the UNSURE loss.](https://deepinv.org/auto_examples/self-supervised-learning/demo_unsure.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-unsure-py) (`../../examples/self-supervised-learning/demo_unsure.py`) | 00:06.659 | 0 | | [Positron emission tomography (PET) in 3D](https://deepinv.org/auto_examples/physics/demo_pet3d.html.md#sphx-glr-auto-examples-physics-demo-pet3d-py) (`../../examples/physics/demo_pet3d.py`) | 00:06.268 | 0 | | [Self-supervised learning with Equivariant Imaging for MRI.](https://deepinv.org/auto_examples/self-supervised-learning/demo_equivariant_imaging.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-equivariant-imaging-py) (`../../examples/self-supervised-learning/demo_equivariant_imaging.py`) | 00:05.963 | 0 | | [Imaging inverse problems with adversarial networks](https://deepinv.org/auto_examples/adversarial-learning/demo_gan_imaging.html.md#sphx-glr-auto-examples-adversarial-learning-demo-gan-imaging-py) (`../../examples/adversarial-learning/demo_gan_imaging.py`) | 00:05.627 | 0 | | [Using HuggingFace datasets](https://deepinv.org/auto_examples/external-libraries/demo_hf_dataset.html.md#sphx-glr-auto-examples-external-libraries-demo-hf-dataset-py) (`../../examples/external-libraries/demo_hf_dataset.py`) | 00:05.556 | 0 | | [2D PET reconstruction with the Brainweb dataset](https://deepinv.org/auto_examples/physics/demo_pet_brainweb_2d.html.md#sphx-glr-auto-examples-physics-demo-pet-brainweb-2d-py) (`../../examples/physics/demo_pet_brainweb_2d.py`) | 00:04.942 | 0 | | [Multispectral demosaicing from raw sensor data](https://deepinv.org/auto_examples/optimization/demo_multispectral_demosaicing.html.md#sphx-glr-auto-examples-optimization-demo-multispectral-demosaicing-py) (`../../examples/optimization/demo_multispectral_demosaicing.py`) | 00:04.898 | 0 | | [Ultrasound despeckling from B-mode images](https://deepinv.org/auto_examples/self-supervised-learning/demo_ultrasound_despeckling.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-ultrasound-despeckling-py) (`../../examples/self-supervised-learning/demo_ultrasound_despeckling.py`) | 00:04.835 | 0 | | [Regularization by Denoising (RED) for Super-Resolution.](https://deepinv.org/auto_examples/plug-and-play/demo_RED_GSPnP_SR.html.md#sphx-glr-auto-examples-plug-and-play-demo-red-gspnp-sr-py) (`../../examples/plug-and-play/demo_RED_GSPnP_SR.py`) | 00:04.817 | 0 | | [Blind denoising with noise level estimation](https://deepinv.org/auto_examples/blind-inverse-problems/demo_blind_denoising.html.md#sphx-glr-auto-examples-blind-inverse-problems-demo-blind-denoising-py) (`../../examples/blind-inverse-problems/demo_blind_denoising.py`) | 00:04.659 | 0 | | [Low-dose CT with ASTRA backend and Total-Variation (TV) prior](https://deepinv.org/auto_examples/external-libraries/demo_astra_tomography.html.md#sphx-glr-auto-examples-external-libraries-demo-astra-tomography-py) (`../../examples/external-libraries/demo_astra_tomography.py`) | 00:04.454 | 0 | | [Image transformations for Equivariant Imaging](https://deepinv.org/auto_examples/self-supervised-learning/demo_ei_transforms.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-ei-transforms-py) (`../../examples/self-supervised-learning/demo_ei_transforms.py`) | 00:03.966 | 0 | | [Tour of MRI functionality in DeepInverse](https://deepinv.org/auto_examples/physics/demo_mri_tour.html.md#sphx-glr-auto-examples-physics-demo-mri-tour-py) (`../../examples/physics/demo_mri_tour.py`) | 00:03.776 | 0 | | [Image deblurring with Total-Variation (TV) prior](https://deepinv.org/auto_examples/optimization/demo_TV_minimisation.html.md#sphx-glr-auto-examples-optimization-demo-tv-minimisation-py) (`../../examples/optimization/demo_TV_minimisation.py`) | 00:03.719 | 0 | | [Tour of forward sensing operators](https://deepinv.org/auto_examples/physics/demo_physics_tour.html.md#sphx-glr-auto-examples-physics-demo-physics-tour-py) (`../../examples/physics/demo_physics_tour.py`) | 00:03.676 | 0 | | [Uncertainty quantification with PnP-ULA.](https://deepinv.org/auto_examples/sampling/demo_sampling.html.md#sphx-glr-auto-examples-sampling-demo-sampling-py) (`../../examples/sampling/demo_sampling.py`) | 00:03.571 | 0 | | [Single-pixel imaging with Spyrit](https://deepinv.org/auto_examples/external-libraries/demo_connect_spyrit.html.md#sphx-glr-auto-examples-external-libraries-demo-connect-spyrit-py) (`../../examples/external-libraries/demo_connect_spyrit.py`) | 00:03.517 | 0 | | [Image reconstruction with a diffusion model](https://deepinv.org/auto_examples/sampling/demo_ddrm.html.md#sphx-glr-auto-examples-sampling-demo-ddrm-py) (`../../examples/sampling/demo_ddrm.py`) | 00:03.442 | 0 | | [Random phase retrieval and reconstruction methods.](https://deepinv.org/auto_examples/physics/demo_phase_retrieval.html.md#sphx-glr-auto-examples-physics-demo-phase-retrieval-py) (`../../examples/physics/demo_phase_retrieval.py`) | 00:03.365 | 0 | | [Image transforms for equivariance & augmentations](https://deepinv.org/auto_examples/transforms-equivariance/demo_transforms.html.md#sphx-glr-auto-examples-transforms-equivariance-demo-transforms-py) (`../../examples/transforms-equivariance/demo_transforms.py`) | 00:03.287 | 0 | | [DPIR method for PnP image deblurring.](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_DPIR_deblur.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-dpir-deblur-py) (`../../examples/plug-and-play/demo_PnP_DPIR_deblur.py`) | 00:03.228 | 0 | | [Patch priors for limited-angle computed tomography](https://deepinv.org/auto_examples/optimization/demo_patch_priors_CT.html.md#sphx-glr-auto-examples-optimization-demo-patch-priors-ct-py) (`../../examples/optimization/demo_patch_priors_CT.py`) | 00:02.821 | 0 | | [Positron emission tomography (PET) in 2D](https://deepinv.org/auto_examples/physics/demo_pet2d.html.md#sphx-glr-auto-examples-physics-demo-pet2d-py) (`../../examples/physics/demo_pet2d.py`) | 00:02.713 | 0 | | [Super-resolution with SRResNet](https://deepinv.org/auto_examples/models/demo_super_resolution.html.md#sphx-glr-auto-examples-models-demo-super-resolution-py) (`../../examples/models/demo_super_resolution.py`) | 00:02.680 | 0 | | [3D denoising of brain MRI with wavelet and TV priors](https://deepinv.org/auto_examples/optimization/demo_3D_denoising.html.md#sphx-glr-auto-examples-optimization-demo-3d-denoising-py) (`../../examples/optimization/demo_3D_denoising.py`) | 00:02.596 | 0 | | [Loading scientific images](https://deepinv.org/auto_examples/external-libraries/demo_io.html.md#sphx-glr-auto-examples-external-libraries-demo-io-py) (`../../examples/external-libraries/demo_io.py`) | 00:02.527 | 0 | | [Blind Richardson-Lucy deconvolution](https://deepinv.org/auto_examples/blind-inverse-problems/demo_blind_richardsonlucy.html.md#sphx-glr-auto-examples-blind-inverse-problems-demo-blind-richardsonlucy-py) (`../../examples/blind-inverse-problems/demo_blind_richardsonlucy.py`) | 00:02.511 | 0 | | [Blind inverse problems with no reference metrics](https://deepinv.org/auto_examples/metrics/demo_test_time_tuning.html.md#sphx-glr-auto-examples-metrics-demo-test-time-tuning-py) (`../../examples/metrics/demo_test_time_tuning.py`) | 00:02.339 | 0 | | [Expected Patch Log Likelihood (EPLL) for Denoising and Inpainting](https://deepinv.org/auto_examples/optimization/demo_epll.html.md#sphx-glr-auto-examples-optimization-demo-epll-py) (`../../examples/optimization/demo_epll.py`) | 00:02.284 | 0 | | [Bring your own dataset](https://deepinv.org/auto_examples/basics/demo_custom_dataset.html.md#sphx-glr-auto-examples-basics-demo-custom-dataset-py) (`../../examples/basics/demo_custom_dataset.py`) | 00:02.174 | 0 | | [Self-supervised MRI reconstruction with Artifact2Artifact](https://deepinv.org/auto_examples/self-supervised-learning/demo_artifact2artifact.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-artifact2artifact-py) (`../../examples/self-supervised-learning/demo_artifact2artifact.py`) | 00:02.128 | 0 | | [Tour of blur operators](https://deepinv.org/auto_examples/physics/demo_blur_tour.html.md#sphx-glr-auto-examples-physics-demo-blur-tour-py) (`../../examples/physics/demo_blur_tour.py`) | 00:02.105 | 0 | | [DPS – Posterior Sampling with Diffusion Models](https://deepinv.org/auto_examples/sampling/demo_dps.html.md#sphx-glr-auto-examples-sampling-demo-dps-py) (`../../examples/sampling/demo_dps.py`) | 00:02.101 | 0 | | [3D diffraction PSF](https://deepinv.org/auto_examples/physics/demo_microscopy_3d.html.md#sphx-glr-auto-examples-physics-demo-microscopy-3d-py) (`../../examples/physics/demo_microscopy_3d.py`) | 00:01.945 | 0 | | [Self-supervised denoising with the SURE loss.](https://deepinv.org/auto_examples/self-supervised-learning/demo_sure_denoising.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-sure-denoising-py) (`../../examples/self-supervised-learning/demo_sure_denoising.py`) | 00:01.917 | 0 | | [Self-supervised denoising with the Neighbor2Neighbor loss.](https://deepinv.org/auto_examples/self-supervised-learning/demo_n2n_denoising.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-n2n-denoising-py) (`../../examples/self-supervised-learning/demo_n2n_denoising.py`) | 00:01.847 | 0 | | [Multi-scale Plug-and-Play for Inpainting](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_multiscale.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-multiscale-py) (`../../examples/plug-and-play/demo_PnP_multiscale.py`) | 00:01.639 | 0 | | [Calibrating physics operators](https://deepinv.org/auto_examples/blind-inverse-problems/demo_optimizing_physics_parameter.html.md#sphx-glr-auto-examples-blind-inverse-problems-demo-optimizing-physics-parameter-py) (`../../examples/blind-inverse-problems/demo_optimizing_physics_parameter.py`) | 00:01.482 | 0 | | [Poisson Inverse Problems with Maximum-Likelihood Expectation-Maximization (MLEM)](https://deepinv.org/auto_examples/optimization/demo_poisson_mlem.html.md#sphx-glr-auto-examples-optimization-demo-poisson-mlem-py) (`../../examples/optimization/demo_poisson_mlem.py`) | 00:01.437 | 0 | | [Poisson denoising using Poisson2Sparse](https://deepinv.org/auto_examples/self-supervised-learning/demo_poisson2sparse.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-poisson2sparse-py) (`../../examples/self-supervised-learning/demo_poisson2sparse.py`) | 00:01.395 | 0 | | [Remote sensing with satellite images](https://deepinv.org/auto_examples/physics/demo_remote_sensing.html.md#sphx-glr-auto-examples-physics-demo-remote-sensing-py) (`../../examples/physics/demo_remote_sensing.py`) | 00:01.324 | 0 | | [Use a pretrained model](https://deepinv.org/auto_examples/basics/demo_pretrained_model.html.md#sphx-glr-auto-examples-basics-demo-pretrained-model-py) (`../../examples/basics/demo_pretrained_model.py`) | 00:01.123 | 0 | | [Poisson-Gaussian Denoising with the Generalized Anscombe Transform](https://deepinv.org/auto_examples/physics/demo_anscombe.html.md#sphx-glr-auto-examples-physics-demo-anscombe-py) (`../../examples/physics/demo_anscombe.py`) | 00:01.078 | 0 | | [Image deblurring with custom deep explicit prior.](https://deepinv.org/auto_examples/optimization/demo_custom_prior.html.md#sphx-glr-auto-examples-optimization-demo-custom-prior-py) (`../../examples/optimization/demo_custom_prior.py`) | 00:01.058 | 0 | | [Image inpainting with wavelet prior](https://deepinv.org/auto_examples/optimization/demo_wavelet_prior.html.md#sphx-glr-auto-examples-optimization-demo-wavelet-prior-py) (`../../examples/optimization/demo_wavelet_prior.py`) | 00:01.007 | 0 | | [Low-intensity STED fluorescence microscopy denoising](https://deepinv.org/auto_examples/external-libraries/demo_microscopy_denoising.html.md#sphx-glr-auto-examples-external-libraries-demo-microscopy-denoising-py) (`../../examples/external-libraries/demo_microscopy_denoising.py`) | 00:00.906 | 0 | | [Plug-and-Play algorithm with Mirror Descent for Poisson noise inverse problems.](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_mirror_descent.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-mirror-descent-py) (`../../examples/plug-and-play/demo_PnP_mirror_descent.py`) | 00:00.738 | 0 | | [DEAL denoising and reconstruction](https://deepinv.org/auto_examples/unfolded/demo_deal.html.md#sphx-glr-auto-examples-unfolded-demo-deal-py) (`../../examples/unfolded/demo_deal.py`) | 00:00.704 | 0 | | [Tour of ultrafast ultrasound in DeepInverse](https://deepinv.org/auto_examples/physics/demo_ultrasound_tour.html.md#sphx-glr-auto-examples-physics-demo-ultrasound-tour-py) (`../../examples/physics/demo_ultrasound_tour.py`) | 00:00.681 | 0 | | [Vanilla PnP for computed tomography (CT).](https://deepinv.org/auto_examples/plug-and-play/demo_vanilla_PnP.html.md#sphx-glr-auto-examples-plug-and-play-demo-vanilla-pnp-py) (`../../examples/plug-and-play/demo_vanilla_PnP.py`) | 00:00.650 | 0 | | [Self-supervised denoising with the Generalized R2R loss.](https://deepinv.org/auto_examples/self-supervised-learning/demo_r2r_denoising.html.md#sphx-glr-auto-examples-self-supervised-learning-demo-r2r-denoising-py) (`../../examples/self-supervised-learning/demo_r2r_denoising.py`) | 00:00.646 | 0 | | [Pattern Ordering in a Compressive Single Pixel Camera](https://deepinv.org/auto_examples/physics/demo_spc.html.md#sphx-glr-auto-examples-physics-demo-spc-py) (`../../examples/physics/demo_spc.py`) | 00:00.617 | 0 | | [PnP with custom optimization algorithm (Primal-Dual Condat-Vu)](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_custom_optim.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-custom-optim-py) (`../../examples/plug-and-play/demo_PnP_custom_optim.py`) | 00:00.609 | 0 | | [Ptychography phase retrieval](https://deepinv.org/auto_examples/physics/demo_ptychography.html.md#sphx-glr-auto-examples-physics-demo-ptychography-py) (`../../examples/physics/demo_ptychography.py`) | 00:00.433 | 0 | | [Spectral Methods for Non-Circular Deblurring with Liu-Jia Padding](https://deepinv.org/auto_examples/physics/demo_liu_jia_padding.html.md#sphx-glr-auto-examples-physics-demo-liu-jia-padding-py) (`../../examples/physics/demo_liu_jia_padding.py`) | 00:00.414 | 0 | | [Building your custom MCMC sampling algorithm.](https://deepinv.org/auto_examples/sampling/demo_custom_kernel.html.md#sphx-glr-auto-examples-sampling-demo-custom-kernel-py) (`../../examples/sampling/demo_custom_kernel.py`) | 00:00.328 | 0 | | [Reconstructing an image using the deep image prior.](https://deepinv.org/auto_examples/optimization/demo_dip.html.md#sphx-glr-auto-examples-optimization-demo-dip-py) (`../../examples/optimization/demo_dip.py`) | 00:00.290 | 0 | | [Bring your own physics](https://deepinv.org/auto_examples/basics/demo_custom_physics.html.md#sphx-glr-auto-examples-basics-demo-custom-physics-py) (`../../examples/basics/demo_custom_physics.py`) | 00:00.160 | 0 | | [Single photon lidar operator for depth ranging.](https://deepinv.org/auto_examples/physics/demo_lidar.html.md#sphx-glr-auto-examples-physics-demo-lidar-py) (`../../examples/physics/demo_lidar.py`) | 00:00.153 | 0 |