Shunpu Tang (recusant7)

recusant7

Geek Repo

Company:Zhejiang University

Location:Hangzhou, China

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Shunpu Tang's repositories

GAN_SeCom

Channel-aware GAN Inversion for Semantic Communication

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WiMANS

WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing

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awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

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CDC_compression

codebase for Lossy Image Compression with Conditional Diffusion Models

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Deep-JSCC-PyTorch

A implement of Deep JSCC for wireless image transmission by PyTorch

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DeepI2P

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

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Diffusion-Low-Light

Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"

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ECCT

Error Correction Code Transformer

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English-Writing

Enhance Your English Writing for Science Research 写论文英语素材

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GAN-Inversion

[TPAMI 2022] GAN Inversion: A Survey

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GESCO

Offcial PyTorch repository for the paper "Generative Semantic Communication: Diffusion Models Beyond Bit Recovery"

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HI-Diff

PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"

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latex_paper_writing

Tips for Writing a Research Paper using LaTeX

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MambaIR

A simple baseline for image restoration with state-space model.

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sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

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SUPIR

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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UppScale

UppScale is a free image processing application that leverages AI to enhance and upscale images. It provides powerful tools for improving image quality, enhancing lighting, and increasing resolution.

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VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"

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WiFi-Ushape

U-shape Deep Networks are Unified Backbones for Human Action Understanding from Wi-Fi Signals

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ZJU-Rule

ZJU Clash 分流规则

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