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Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A simple and light-weight camera image processing pipeline
Machine Learning algorithm implementations from scratch.
Implementation of popular ML algorithms from scratch
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Project for ACM MM 2020 paper: "Learning to Detect Specular Highlights from Real-world Images".
[CVPR2024] Open-world Semantic Segmentation Including Class Similarity
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization
The implementation of "Learning Single Image Defocus Deblurring with Misaligned Training Pairs".
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
A curated list of resources for Image and Video Deblurring
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
The state-of-the-art image restoration model without nonlinear activation functions.