Name: Jingxiang Sun
Type: User
Company: Tsinghua University
Bio: A second-year PhD student of Tsinghua University. My research focuses on neural rendering, digital avatar and image generation.
Twitter: JingxiangSun42
Location: Beijing, China
Blog: https://mrtornado24.github.io/
Jingxiang Sun's Projects
Official implementation of arxiv paper "4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions"
A curated list of awesome 3d generation papers
A collection of resources on controllable generation with text-to-image diffusion models.
A collection of resources on digital human including clothed people digitalization, virtual try-on, and other related directions.
A curated list of resources on implicit neural representations.
A curated list of awesome neural radiance fields papers
A collection of resources on neural rendering.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
This project aims at the big data challenges for predicting bus arrival time using GPS datasets.
Linux 端使用 Clash 作为代理工具
This is the code for UIUC 20Fall CS 498 Deep Learning Project
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
A novel data-free model stealing method based on GAN
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
Deep Equilibrium Optical Flow Estimation
DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.
DragGAN meets GET3D for interactive mesh generation and editing.
Official Code for DragGAN (SIGGRAPH 2023)
Download resources from online storage with ONLY ONE command line!!
Make human motion capture easier.
[CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment (CVPR 2022 Oral, Best Paper Finalist)
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
GMFlow: Learning Optical Flow via Global Matching, CVPR 2022, Oral
Repository for "HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling". [CVPR2023 Highlight]