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Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
A playbook for systematically maximizing the performance of deep learning models.
Easily create large video dataset from video urls
A Collection of Papers and Codes in ICCV2023/2021 about low level vision
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
Learning Temporal Consistency for Low Light Video Enhancement from Single Images (CVPR2021)
Official code for "AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation" (CVPR2023)
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Infinite Photorealistic Worlds using Procedural Generation
The missing star history graph of GitHub repos - https://star-history.com
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Downsampling Consistency Correction-Based Quality Enhancement for CNN-Based Light Field Image Super-Resolution (2023) by Kuo-Liang Chung and Tsung-Lun Hsieh
A method to increase the speed and lower the memory footprint of existing vision transformers.
Open Source Light Field Toolbox for Super-Resolution
A procedural Blender pipeline for photorealistic training image generation
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
A Collection of Papers and Datasets for Light Field Image Super-Resolution
Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022
A latent text-to-image diffusion model