Alternatives and similar repositories for DMPlug

Users that are interested in DMPlug are comparing it to the libraries listed below

• NVlabs / RED-diff
  ☆94Updated 2 years ago
• soominkwon / resample
  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)
  ☆73Updated 10 months ago
• hyungjin-chung / DDS
  Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…
  ☆68Updated last year
• hyungjin-chung / CDDB
  Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809…
  ☆56Updated last year
• hyungjin-chung / MCG_diffusion
  Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (ht…
  ☆252Updated 2 years ago
• BlindDPS / blind-dps
  An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
  ☆119Updated 2 years ago
• zhangbingliang2019 / DAPS
  [CVPR 2025 Oral] Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
  ☆148Updated 3 months ago
• xypeng9903 / k-diffusion-inverse-problems
  [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
  ☆54Updated 11 months ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 3 years ago
• annegnx / PnP-Flow
  Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)
  ☆113Updated 2 weeks ago
• Hanyu-Chen373 / DeepDataConsistency
  Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
  ☆25Updated last year
• vishwa91 / wire
  wavelet implicit neural representations
  ☆167Updated last year
• hyungjin-chung / DDIP3D
  ☆49Updated last year
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)
  ☆35Updated 9 months ago
• LituRout / PSLD
  Posterior Sampling using Latent Diffusion - NeurIPS 2023
  ☆153Updated last year
• kakaobrain / ginr-ipc
  The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).
  ☆40Updated 2 years ago
• ZehaoDou-official / FPS-SMC-2023
  Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…
  ☆47Updated last year
• zhangbingliang2019 / STeP
  STeP: a general and scalable framework for solving video inverse problems with spatiotemporal diffusion priors
  ☆26Updated 3 months ago
• VITA-Group / Neural-Implicit-Dict
  [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
  ☆40Updated last year
• sony / gibbsddrm
  ☆30Updated 2 years ago
• utcsilab / ambient-diffusion-mri
  [ICLR 2025] Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Cor…
  ☆18Updated 7 months ago
• giannisdaras / ambient-diffusion
  [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"
  ☆83Updated last year
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆68Updated 2 months ago
• ubc-vision / NFFB
  The official repository for Neural Fourier Filter Bank (CVPR 2023)
  ☆67Updated 2 years ago
• cognaclee / DPM-OT
  ☆43Updated 7 months ago
• FlowDPS-Inverse / FlowDPS
  [ICCV2025] Official repository of "FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems"
  ☆40Updated 2 months ago
• BioMed-AI-Lab-U-Michgan / cosign
  ☆21Updated last year
• tongdaxu / Rethinking-Diffusion-Posterior-Sampling-From-Conditional-Score-Estimator-to-Maximizing-a-Posterior
  Official Implementation for (ICLR 2025) Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posteri…
  ☆20Updated 8 months ago
• bahjat-kawar / gsure-diffusion
  ☆13Updated last year
• oppo-us-research / FA-VAE
  Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction
  ☆41Updated last year