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CVPR2024: Transfer CLIP for Generalizable Image Denoising
This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"
Scripts to build a trimmed-down Windows 11 image.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
[NeurIPS 2023] PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Official implementation of "Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera"
Learning Generative Structure Prior for Blind Text Image Super-resolution [CVPR 2023]
[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
PyTorch Code for "Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image", TIP 2020.
Collect super-resolution related papers, data, repositories
[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
🌈Bilibili_video_download-B站视频下载
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories…
FastDVDnet: A Very Fast Deep Video Denoising algorithm
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
Public code release for: ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization (SIGGRAPH 2023) [Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam Gingold]