Overview

My research is driven by my passion for generative AI. From GANs to Diffusion Models, generative models have made great progress. GhatGPT has demonstrated the great potential and application value of text generation, and image generation has also been widely used, but there are still many problems to be solved in video, 3D and 4D generation. Currently, I focus on three key areas:


Publications

(* indicate corresponding author)

DreamTexture
DreamTexture: High-Fidelity Synthetic 3D Data Generation through Decoupled Geometry and Texture Synthesis

Jing Li, Yawei Luo, Ying Li*, Xueying Li, Xiaoxue Li, Yuwen Hao, Lijun Wang, and Zhengping Li*

The 18th European Conference on Computer Vision ECCV 2024 (Synthetic Data for Computer Vision)

SDS
Guiding 3D Digital Content Generation with Pre-Trained Diffusion Models

Jing Li, Zhengping Li*, Peizhe Jiang, Lijun Wang, Xiaoxue Li*, Yuwen Hao

International Journal of Advanced Computer Science & Applications 15.1 (2024)

Diffusion
A Comprehensive Study of Content Generation Using Diffusion Model

Jing Li, Zhengping Li, Ying Li, Lijun Wang*

SID Symposium Digest of Technical Papers. Vol. 54. 2023

Collaborators