CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusion Models
C Song, Y Yang, T Zhao, R Li, JT Zhou, C Zhang. (2026). "WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusion Models." arXiv preprint arXiv:2610.31640.
World in World: Explore the World with World Models
C Song, Y Yang, C Zhang. (2026). "World in World: Explore the World with World Models." arXiv preprint arXiv:2609.11548.
GS²CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors
Y Yang, C Song, P Wang, X Yuan, C Zhang. (2026). "GS²CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors." arXiv preprint arXiv:2608.13502.
DyWeight: Dynamic Gradient Weighting for Few-Step Diffusion Sampling
T Zhao, M Lei, L Yuan, Y Yang, C Song, Y Wang, B Zhu, C Zhang. (2026). "DyWeight: Dynamic Gradient Weighting for Few-Step Diffusion Sampling." arXiv preprint arXiv:2603.11607.
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
C Zhang, Y Chen, Y Fu, W Cheng, Z Zhou, W Jiang, Z Wang, B Fu, T Chen, G Yu, G Lin, C Song. (2026). "StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation." IEEE J-STSP.
Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
J Tian, C Song, W Cheng, C Zhang. (2026). "Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction." CVPR 2026.
SwitchCraft: Training-Free Multi-Event Video Generation with Attention Controls
Q Xu, C Song, Y Cai, C Zhang. (2026). "SwitchCraft: Training-Free Multi-Event Video Generation with Attention Controls." CVPR 2026.
Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration
M Yang, Y Yang, C Xu, C Song, Y Zuo, T Zhao, R Li, C Zhang. (2025). "Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration." arXiv preprint arXiv:2511.22533.
🔥 WorldForge: Taming Video Models for 3D and 4D Generation via Zero-Shot Camera Control
C Song, Y Yang, T Zhao, R Li, C Zhang. (2025). "Taming Video Models for 3D and 4D Generation via Zero-Shot Camera Control. " arXiv preprint arXiv:2509.15130.
Appagentx: Evolving gui agents as proficient smartphone users
W Jiang, Y Zhuang, C Song, X Yang, JT Zhou, C Zhang. (2025). "Appagentx: Evolving gui agents as proficient smartphone users." arXiv preprint arXiv:2503.02268.
FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing
G Li, Y Yang, C Song, C Zhang. (2025). "FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing." arXiv preprint arXiv:2506.05046.
FewarNet: An efficient few-shot view synthesis network based on trend regularization
C Song, S Wang, J Wei, Y Zhao. (2024). "FewarNet: An efficient few-shot view synthesis network based on trend regularization." IEEE Transactions on Circuits and Systems for Video Technology. 34 (10), 9264-9278.
Elemental image array generation based on BVH structure combined with spatial partition and display optimization
T Li, S Wang, J Wei, Y Zhao, C Song, R Zhang. (2024). "Elemental image array generation based on BVH structure combined with spatial partition and display optimization." Displays. 84, 102784.
Wide-baseline view synthesis for light-field display based on plane-depth-fused sweep volume
C Song, S Wang, J Wei, Y Zhao, R Zhang. (2023). "Wide-baseline view synthesis for light-field display based on plane-depth-fused sweep volume." Displays. 79, 102503.
Efficiently enhancing co-occurring details while avoiding artifacts for light field display
J Wei, S Wang, Y Zhao, M Piao, C Song. (2020). "Efficiently enhancing co-occurring details while avoiding artifacts for light field display." Applied Optics. 59 (21), 6315-6326.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams