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[ICML 2024 & TPAMI 2026] EvTexture & EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution
| Date | Stars |
|---|---|
| 2026-07-24 | 1204 |
| 2026-07-25 | 1204 |
| 2026-07-28 | 1204 |
| 2026-07-30 | 1204 |
| 2026-08-06 | 1204 |
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# EvTexture & EvTexture++ (ICML 2024 & TPAMI 2026)
Official PyTorch implementation for the "EvTexture: Event-driven Texture Enhancement for Video Super-Resolution" (ICML 2024) and its journal extension "EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution" (IEEE TPAMI 2026).
<p align="center">
<b>EvTexture (ICML 2024)</b>:
🌐 <a href="https://dachunkai.github.io/evtexture.github.io/" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2406.13457" target="_blank">Paper</a> | 🖼️ <a href="https://docs.google.com/presentation/d/1nbDb39TFb374DzBwdz5v20kIREUA0nBH/edit?usp=sharing" target="_blank">Poster</a> <br>
<b>EvTexture++ (TPAMI 2026)</b>:
🌐 <a href="https://dachunkai.github.io/evtexture-project-page/" target="_blank">Project</a> | 📃 <a href="https://ieeexplore.ieee.org/document/11369964" target="_blank">IEEE Xplore</a> | 🖼️ <a href="https://drive.google.com/file/d/1OAuycvMbkZbxp93M4BbFDgYz7WoiD19G/view?usp=drive_link" target="_blank">Poster</a> <br>
</p>
**Authors**: [Dachun Kai](https://github.com/DachunKai/)<sup>[:email:️](mailto:[email protected])</sup>, Jiayao Lu, [Yueyi Zhang](https://scholar.google.com.hk/citations?user=LatWlFAAAAAJ&hl=zh-CN&oi=ao)<sup>[:email:️](mailto:[email protected])</sup>, [Xiaoyan Sun](https://scholar.google.com/citations?user=VRG3dw4AAAAJ&hl=zh-CN), *University of Science and Technology of China*
**Feel free to ask questions. If our work helps, please don't hesitate to give us a :star:!**
> **[News]** The extended journal version, **EvTexture++**, has been accepted by **IEEE TPAMI 2026**. The source code and pre-trained models for EvTexture++ are currently under preparation and will be released in this repository in due course.
## :rocket: News
<!-- - [ ] Provide a script for inference on the user's own video -->
- [x] 2026/02/02: :tada: :tada: The journal extension **EvTexture++** is accepted by IEEE TPAMI.
- [x] 2024/07/02: Release the colab file for a quick test
- [x] 2024/06/28: Release details to prepare datasets
- [x] 2024/06/08: Publish docker image
- [x] 2024/06/08: Release pretrained models and test sets for quick testing
- [x] 2024/06/07: Video demos released
- [x] 2024/05/25: Initialize the repository
- [x] 2024/05/02: :tada: :tada: Our paper was accepted in ICML'2024
## :bookmark: Table of Content
1. [Video Demos](#video-demos)
2. [Code](#code)
3. [Citation](#citation)
4. [Contact](#contact)
5. [License and Acknowledgement](#license-and-acknowledgement)
## :fire: Video Demos
A $4\times$ upsampling results on the [Vid4](https://paperswithcode.com/sota/video-super-resolution-on-vid4-4x-upscaling) and [REDS4](https://paperswithcode.com/dataset/reds) test sets.
https://github.com/DachunKai/EvTexture/assets/66354783/fcf48952-ea48-491c-a4fb-002bb2d04ad3
https://github.com/DachunKai/EvTexture/assets/66354783/ea3dd475-ba8f-411f-883d-385a5fdf7ff6
https://github.com/DachunKai/EvTexture/assets/66354783/e1e6b340-64b3-4d94-90ee-54f025f255fb
https://github.com/DachunKai/EvTexture/assets/66354783/01880c40-147b-4c02-8789-ced0c1bff9c4
## Code
### Installation
* Dependencies: [Miniconda](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh), [CUDA Toolkit 11.1.1](https://developer.nvidia.com/cuda-11.1.1-download-archive), [torch 1.10.2+cu111](https://download.pytorch.org/whl/cu111/torch-1.10.2%2Bcu111-cp37-cp37m-linux_x86_64.whl), and [torchvision 0.11.3+cu111](https://download.pytorch.org/whl/cu111/torchvision-0.11.3%2Bcu111-cp37-cp37m-linux_x86_64.whl).
* Run in Conda
```bash
conda create -y -n evtexture python=3.7
conda activate evtexture
pip install torch-1.10.2+cu111-cp37-cp37m-linux_x86_64.whl
pip install torchvision-0.11.3+cu111-cp37-cp37m-linux_x86_64.whl
git clone https://github.com/DachunKai/EvTexture.git
cd EvTexture && pip install -r requirements.txt && python setup.py develop
```
* Run in Docker :clap:
Note: before running the Docker image, make sure to install nvidiaExcerpt of 9,661 characters
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Ikko Eltociear Ashimine · Japan
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:88f4a8872eead3dc, topic:pytorch