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followers: 51.0 following: 71.0 repos: 17.0 gists: 0.0

Name: wxDai (戴文勋)

Type: User

Company: Xidian -> Tsinghua, @open-mmlab

Bio: 1boy, glasses, orange shirt, black hair, upper body, outdoors, short sleeves, looking at viewer, print shirt, sky, night, Mao Zedong Statue

Location: Shenzhen, Guangdong, China

Hi 👋, I'm Dai Wenxun (戴文勋 in Chinese)

Now, I am a Master's student at Tsinghua University, supervised by Prof. Yansong Tang (唐彦嵩教授). I obtained my bachelor's degree from the School of Computer Science and Technology at Xidian University in 2023. My research interests encompass Video Understanding and Motion Generation. I am an intern at Shanghai AI Laboratory since April 2022 and I'm one of the main contributors for ✨ MMAction2 2.0 ✨.

🔭 I’m currently working on text-driven motion generation
📫 How to reach me: Email and Google Scholar
👬 Links: Ling-Hao Chen, Jingbo Wang, Haodong Duan, Yining Li, Kai Chen

《空谷幽兰》YouTube

wxDai (戴文勋)'s Projects

algorithm-adventure

每日算法训练

c-compiler

Tiny self-hosting C compiler

dai-wenxun

My GitHub profile

dai-wenxun.github.io

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

gr_mmaction2_app

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

motion-diffusion-model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

motion-latent-diffusion

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

pointer-generator-networks

Pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

ppsg

PPSG: a noval paradigm of complementary task-oriented pre-training and generalization training

sdlearn

"Crafting the Demon Within Your Soul"

t2m-gpt

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

textboxwork

This repo contains my current textbox work.

torch-practice

Building wheel.

unimocap

[Open-source Project] UniMoCap: community implementation to unify the text-motion datasets (HumanML3D, KIT-ML, and BABEL) and whole-body motion dataset (Motion-X).

x86-assembly

x86-Assembly Learning

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