🌱 Repositories 🌱
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Name: Yi Xiao(肖屹)
Type: User
Company: Wuhan University
Bio: PhD candidate from Wuhan University
Location: Wuhan, Hubei, China
Name: Yi Xiao(肖屹)
Type: User
Company: Wuhan University
Bio: PhD candidate from Wuhan University
Location: Wuhan, Hubei, China
🌱 Repositories 🌱
Official implementation for 'Toward Real-World Super-Resolution via Adaptive Downsampling Models'
[IEEE TGRS 2023] Deep Blind Super-Resolution for Satellite Video
[ICLR 2023, Notable-Top-25%] Official PyTorch implementation for the paper "Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model"
[STOTEN 2022] Generating long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)
[INFFUS 2023] From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
[IEEE TGRS 2024] EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
[IEEE TCSVT 2023] Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
[IEEE TGRS 2022] Satellite Video Super-resolution via Multi-Scale Deformable Convolution Alignment and Temporal Grouping Projection
[JAG 2022] Space-time Super-resolution for Satellite Video: A Joint Framework Based on Multi-Scale Spatial-Temporal Transformer
(NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers
[IEEE TIP 2024] TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.