nonozhizhiovo / RealArbiSRLinks
Official dataset and pytorch implementation for the paper: `Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution'[ECCV24]
☆12Updated 10 months ago
Alternatives and similar repositories for RealArbiSR
Users that are interested in RealArbiSR are comparing it to the libraries listed below
Sorting:
- Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution☆31Updated 9 months ago
- Official dataset and code of Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World[CVPR2024].☆47Updated last month
- [WACV 2025 oral] All-in-One Image Compression and Restoration.☆27Updated 2 weeks ago
- [TPAMI 2025] Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring☆21Updated 5 months ago
- Official PyTorch implementation of "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers" in ECCV 2024.☆35Updated last year
- ICCV 2025-CTMSR:Consistency Trajectory Matching for One-Step Generative Super-Resolution☆40Updated last month
- The official Pytorch Implementation of AnyIR for All in One Image Restoration☆27Updated last month
- [ICCV 23] Official implementation of Alignment-free HDR Deghosting with Sematnics Consistent Transformer (Code & Dataset)☆37Updated last year
- [CVPR 2024 Highlight] LMF (Latent Modulated Function for Computational Optimal Continuous Image Representation)☆72Updated last year
- [CVPR 2025] Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance☆52Updated 4 months ago
- 局部归因图(Local Attribution Map, LAM)是一个超分辨率重建任务的可解释性工具,旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使 用的信息,并在指定超分结果局部区域的前提下,高亮对超分结果贡献最大的像素。☆17Updated 2 years ago
- [TIP 2024] Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆34Updated 11 months ago
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆51Updated last year
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆19Updated 2 years ago
- Cascaded Temporal Updating Network for Efficient Video Super-Resolution☆16Updated 7 months ago
- GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"☆30Updated 7 months ago
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆91Updated 7 months ago
- Official code for GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration☆48Updated 5 months ago
- AAAI 2024: VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook☆25Updated last year
- Official repo for CVPR 2025 paper AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning☆59Updated 7 months ago
- [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration☆70Updated last year
- [TNNLS 2023] STDAN: Deformable Attention Network for Space-Time Video Super-Resolution☆19Updated 8 months ago
- [ECCV 2024] The Official Code for "Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution"☆38Updated last year
- SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging (ECCV 2024)☆33Updated last year
- Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones (ECCV 2022)☆35Updated 2 years ago
- Towards Unified Deep Image Deraining: A Survey and A New Benchmark (TPAMI 2025)☆28Updated 3 months ago
- [PRCV 2023] RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution☆51Updated last year
- ☆12Updated last year
- [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution☆21Updated last year
- ☆26Updated last year