Alternatives and similar repositories for DenoiseCompression

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

• wyf0912 / R2LCM
  [CVPR'23/IJCV'24] Raw Image Reconstruction with Learned Compact Metadata
  ☆42Updated last year
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆52Updated 6 months ago
• songyonger / FADN
  An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
  ☆34Updated 4 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 3 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago
• tianyuan168326 / SelfC
  ICCV2021: Self-Conditioned Probabilistic Learning of Video Rescaling
  ☆16Updated 2 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆81Updated last year
• xyq7 / InvCompress
  [ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression
  ☆125Updated 2 years ago
• zfu006 / sRGB-Real-Noise-Synthesis
  Official PyTorch implementation of "sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model" in CVPR 2023.
  ☆34Updated 2 years ago
• cszhilu1998 / RAW-to-sRGB
  [ICCV 2021] Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
  ☆95Updated 4 months ago
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆136Updated 2 years ago
• huxiaotaostasy / MGA-scheme
  Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks
  ☆35Updated last year
• MingSun-Tse / ASSL
  [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
  ☆61Updated 3 years ago
• HDCVLab / UHD4K_UHD8K
  ☆38Updated last year
• jianzhangcs / DAGL
  Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
  ☆108Updated 4 years ago
• FireFYF / SlimCAE
  Slimmable Compressive Autoencoders for Practical Neural Image Compression
  ☆54Updated 3 years ago
• zhjy2016 / SPLUT
  Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
  ☆53Updated 4 months ago
• jaroslaw1007 / CLIT
  ☆52Updated 3 months ago
• YannickStruempler / LearnedJPEG
  This repository contains the implementation associated with the paper "Learning to improve image compression without changing the standar…
  ☆30Updated 3 years ago
• HaomingCai / SRPO
  Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]
  ☆20Updated 3 years ago
• fengzhang427 / LRD
  Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”
  ☆75Updated last year
• lonelyhope / DADA
  ☆18Updated 3 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆82Updated 2 years ago
• zhaoyuzhi / D2HNet
  D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. ECCV, 2022
  ☆79Updated last year
• cszhilu1998 / SelfDZSR
  [ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
  ☆74Updated last year
• naver-ai / informer
  ☆16Updated last year
• JiangWeibeta / IQA-TMFM
  [CVPRW & CLIC 2022 - Perceptual Metrics] Image Quality Assessment with Transformers and Multi-Metric Fusion Modules
  ☆13Updated 2 years ago
• rami0205 / NGramSwin
  N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)
  ☆85Updated last year