I am Simian Luo, 23, currently a second year M.S student in Artificial Intelligence at IIIS (Institute for Interdisciplinary Information Sciences), Tsinghua University (清华交叉信息研究院) advised by Prof. Hang Zhao.

Previously, I received my B.E. in Data Science from School of Data Science, Fudan University, advised by Prof. Yanwei Fu.

My research interest focus on Advanced Generative Model, Multi-Modal Generation and LLM Application. In specfic, I have researched in diffusion model, audio-visual generation, 3D generation, and Augmentated LLM.
Currently, I am focused on developing new advanced Generative Models that can accelerate the development of the AI Generated Content (AIGC) industry.

E-Mail | Google Scholar | Github

* indicates equal contribution

LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo*, Yiqin Tan*, Suraj Patil†, Daniel Gu†, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao
(*:Leading Authors, †:Core Contributor)
Technical Report   2023.11

Latent Consistency Models: Synthesizing High-Resolution Images With Few-Step Inference
Simian Luo*, Yiqin Tan*, Longbo Huang†, Jian Li†, Hang Zhao†
Preprint   2023.10

Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao
NeurIPS 2023

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Chenxu Hu*, Jie Fu*, Chenzhuang Du, Simian Luo, Junbo Zhao, Hang Zhao
LLM @ IJCAI 2023

Learning Versatile 3D Shape Generation with Improved AR Models
Simian Luo*, Xuelin Qian*, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue
ICCV 2023

QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation
Yuxin Hong, Xuelin Qian, Simian Luo, Guoguo Guo, Xiangyang Xue, Yanwei Fu
ACCV 2022