Di (Kilian) Chang


CS Ph.D. @ University of Southern California

Department of Computer Science
Viterbi School of Engineering
University of Southern California
Email1: dichang at usc dot edu (primary)
Email2: dchang at ict dot usc dot edu
Email3: di dot chang at bytedance dot com

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About Me


I am a first-year second-year Ph.D. student in the Department of Computer Science at University of Southern California (USC) with Prof. Mohammad Soleymani of IHP-Lab. I also collaborate with Prof. Yue Wang and his PhD students for some research projects. I was a Research Scientist Intern at TikTok-ByteDance AI Lab US, Intelligent Creation Team, working with Dr. Yichun Shi and Dr. Xiao Yang during 2023 summer.

Before that, I spent four wonderful years during my undergraduate at Dalian University of Technology and Technical University of Munich, studying Informatics and Information Engineering. I'm honored to be advised by Prof. Matthias Niessner and Dr. Aljaž Božič during my praktikum at Visual Computing Group. I spent a wonderful summer in 2022 with Dr. Tong Zhang and Prof. Sabine Süsstrunk at EPFL CS and in 2021 with Prof. Dan Xu at HKUST CSE.

I'm interested in Computer vision, Multi-View Stereo and Neural Rendering. My current research focuses include:

Research opportunities:
For USC undergraduate students: We have openings for interns through CURVE program. Usually we recruit students (first-time researchers and continuing researchers) during Fall and Spring semesters, please apply early.

For USC master students: Please directly email Prof. Mohammad Soleymani for such inquiries. It would be better if you've attended CSCI 535 and obtained a good grade.

For all other students outside USC: we usually don't have openings during Fall and Spring semesters, but Prof. Mohammad Soleymani sometimes recruits good candidates (Undergrad/Ms/visiting PhD) during the Summer. Email him for further details.

I am happy to collaborate and/or answer questions about my research and my previous study at TUM and current PhD program at USC. If you are interested in research collaboration or have any inquiries about my experience, please send me an email.



University of Southern California, Los Angeles, USA
(Aug. 2022 - Present)

  • Doctor of Philosophy in Computer Science
  • Major Orientation: Deep Learning for 3D Vision and Affective Computing

Technical University of Munich, Munich, Germany (Aug. 2021 - Jul. 2022)

  • Bachelor of Science in Informatics
  • Major Orientation: Deep Learning for 3D Perception, 3D Scanning and Spatial Learning
  • Overall GPA: 1.2/1.0
  • Bachelor thesis: "Supervised and Unsupervised Multi View Stereo for Depth Inference"

Dalian University of Technology, Dalian, China (Sep. 2018 - Jul. 2021)

  • Bachelor of Engineering in Eletronic Information Engineering
  • Major Orientation: Object Detection and Tracking
  • Overall GPA: 91.5/100 | 3.93/4.0


DIM: Dyadic Interaction Modeling for Social Behavior Generation

Di Chang*, Minh Tran*, Maksim Siniukov, Mohammad Soleymani
(*equal contribution)
Arxiv Preprint


MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer

Di Chang, Yichun Shi, Quankai Gao, Jessica Fu, Hongyi Xu, Guoxian Song, Qing Yan, Xiao Yang, Mohammad Soleymani
Arxiv Preprint

[project page] [paper] [code] [video]

Selected Publications [Google Scholar]

DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis

Yuming Gu, Xie You, Hongyi Xu, Guoxian Song, Yichun Shi, Di Chang, Jing Yang, Linjie Luo
IEEE/ CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight)

[project page] [paper] [code] [video]

LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis

Di Chang, Yufeng Yin, Zongjian Li, Minh Tran, and Mohammad Soleymani
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. (Application Track)

[project page] [paper] [code] [video]

FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features

Yufeng Yin, Di Chang, Guoxian Song, Shen Sang, Tiancheng Zhi, Jing Liu, Linjie Luo, and Mohammad Soleymani
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. (Algorithms Track)

[project page] [paper] [code] [video]

RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

Di Chang, Aljaž Božic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk and Matthias Nießner
European Conference on Computer Vision (ECCV), 2022.

[project page] [paper] [code] [video]

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo

Zhenxing Mi, Di Chang and Dan Xu
IEEE/ CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[project page] [paper] [code]

Intern & Work Experience

TikTok, Los Angeles, CA, USA (Aug. 2023 - Nov. 2023)

TikTok, San Jose, CA, USA (May. 2023 - Aug. 2023)

EPFL, Lausanne, Switzerland (Jul. 2022 - Oct. 2022)

  • Position: Summer@EPFL (Top 2% from the candidates in the world) hired by IVRL
  • Supervisor: Dr. Tong Zhang and Prof. Sabine Süsstrunk
  • Project: Video Synthesis with Diffusion Models

TUM, Munich, Bayern, Germany (Mar. 2022 - Aug. 2022)

  • Position: Guided Research in 3D AI Group
  • Supervisor: Prof. Angela Dai
  • Project: Single-View Reconstruction and Category-level NeRF

TUM, Munich, Bayern, Germany (Aug. 2021 - Mar. 2022)

HKUST, Hong Kong, China (Mar. 2021 - Sep. 2021)


Academic Service

Reviewer of the following conferences/journals:

ECCV 2022
NeurIPS 2022
FG 2024
CVPR 2024



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Last update: Jan. 15, 2024