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A list of hyperspectral image super-solution resources collected by Junjun Jiang
The official code of paper "Online Streaming Video Super-Resolution with Convolutional Look-Up Table".
Learning Compressed Representation of 3DLUT for Image-enhancement. Higher performance with much smaller models!
Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
CVPR 2024-Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
The official code for paper "TMP: Temporal Motion Propagation for Online Video Super-Resolution"
Paper list for video enhancement, including video super-resolution, interpolation, denoising, deblurring and inpainting.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
Neural Network Video Interpolation / Super Resolution Filter for VapourSynth
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The official pytorch implementation of "CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion". Submitted to IEEE Transaction on Image Processing …
Deformable Convolution Alignment and Dynamic Scale-Aware Network for Continuous-Scale Satellite Video Super-Resolution
[IEEE TCSVT 2023] Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
✨✨Latest Advances on Multimodal Large Language Models
moving object detection for satellite videos.
Reimplement of paper End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19