Alternatives and similar repositories for UltraSR-Arbitrary-Scale-Super-Resolution:

Users that are interested in UltraSR-Arbitrary-Scale-Super-Resolution are comparing it to the libraries listed below

• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆94Updated 2 years ago
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆50Updated last week
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆66Updated last year
• yhjo09 / AdaTarget
  ☆30Updated 9 months ago
• megvii-research / D2C-SR
  Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
  ☆45Updated 2 years ago
• ken-ouyang / neural_image_simulator
  ☆49Updated 3 years ago
• panpanfei / Dual-Pixel-Exploration-Simultaneous-Depth-Estimation-and-Image-Restoration
  CVPR 2021
  ☆36Updated 2 years ago
• assafshocher / Resizer
  The only way to resize images
  ☆32Updated 4 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• yzxing87 / pytorch-deep-video-prior
  [NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior
  ☆123Updated 2 years ago
• gangsterless / pytorch-softmax-splatting
  personal reimplementation of softsplatting
  ☆26Updated 3 years ago
• ashawkey / jiif
  [ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution
  ☆106Updated 3 years ago
• wangh-allen / LAU-Net
  This repo is the official pytorch implement for LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution (…
  ☆51Updated 3 years ago
• winfried-ripken / deep-hist
  PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
  ☆19Updated last year
• YuvalBahat / Explorable-Super-Resolution
  ☆62Updated 2 years ago
• andreas128 / AdFlow
  ☆40Updated 3 years ago
• yjzhang96 / UTI-VFI
  Video Frame Interpolation without Temporal Priors (a general method for blurry video interpolation)
  ☆35Updated 3 years ago
• Xianhang / EDSC-pytorch
  Code for Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
  ☆74Updated 3 years ago
• VivianSZF / Stereo-Waterdrop-Removal
  [IROS 2021] Official code for "Stereo Waterdrop Removal with Row-wise Dilated Attention"
  ☆33Updated 3 years ago
• sunreef / BlindSR
  Independent implementation of the algorithm from the paper "Blind Image Super-Resolution with Spatially Variant Degradations"
  ☆59Updated 5 years ago
• JaeYeonKang / STVUN-Pytorch
  Deep Space-Time Video Upsampling Networks
  ☆49Updated 4 years ago
• likesum / bpn
  ☆30Updated 3 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 2 years ago
• cszhilu1998 / SelfDZSR
  [ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
  ☆70Updated 10 months ago
• jojo23333 / STPAN
  ☆16Updated 3 years ago
• GuoShi28 / 2StageAlign
  The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
  ☆45Updated 2 years ago
• CS-GangXu / TMNet
  The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
  ☆108Updated 2 years ago
• eyalnaor / DeepTemporalSR
  Across Scales & Across Dimensions - Temporal Super-Resolution using Deep Internal Learning
  ☆44Updated 4 years ago
• howardyclo / CLCC-CVPR21
  An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.
  ☆66Updated 3 years ago
• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆73Updated 4 years ago