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Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)
sylikc / pyexiftool
Forked from smarnach/pyexiftoolPyExifTool (active PyPI project) - A Python library to communicate with an instance of Phil Harvey's ExifTool command-line application. Runs one process with special -stay_open flag, and pipes data…
The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Unsupervised Deep Video Denoising, ICCV 2021
FastDVDnet: A Very Fast Deep Video Denoising algorithm
DVDnet: A Simple and Fast Network for Deep Video Denoising
Perceptual video quality assessment based on multi-method fusion.
open Multi-View Stereo reconstruction library
[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
Geometric Computer Vision Library for Spatial AI
VRT: A Video Restoration Transformer (official repository)
SwinIR: Image Restoration Using Swin Transformer (official repository)
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Python toolkit for quantitative finance
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Super Resolution for images using deep learning.
Super Resolution datasets and models in Pytorch
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
Official implementation of Deep Burst Super-Resolution
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
(NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers
[AAAI2024] Official Repository for Noise-free Optimization in Early Training Steps for Image Super-Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Original implementation of the Popping Detection method from the paper "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering"