Tianshi Cao

19 papers A* 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation.
CoRR
Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, José M. Álvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling
2025 J jnl
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.
CoRR
Xuanchi Ren, Yifan Lu, Tianshi Cao, Ruiyuan Gao, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixé, Mike Chen, Sanja Fidler, Huan Ling
2025 J jnl
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.
CoRR
Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng
2025 J jnl
Masks make discriminative models great again!
CoRR
Tianshi Cao, Marie-Julie Rakotosaona, Ben Poole, Federico Tombari, Michael Niemeyer
2024 — conf
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.
ECCV (77)
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
2024 J jnl
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.
CoRR
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
2023 J jnl
Differentially Private Diffusion Models.
Trans. Mach. Learn. Res.
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
2023 A* conf
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.
ICCV
Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin
2023 J jnl
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.
CoRR
Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin
2022 J jnl
Differentially Private Diffusion Models.
CoRR
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
2022 J jnl
Scalable Neural Data Server: A Data Recommender for Transfer Learning.
CoRR
Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
2021 A* conf
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.
NeurIPS
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
2021 J jnl
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.
CoRR
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
2021 A* conf
Scalable Neural Data Server: A Data Recommender for Transfer Learning.
NeurIPS
Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
2020 J jnl
A Benchmark of Medical Out of Distribution Detection.
CoRR
Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen
2020 A* conf
A Theoretical Analysis of the Number of Shots in Few-Shot Learning.
ICLR
Tianshi Cao, Marc T. Law, Sanja Fidler
2020 J jnl
BabyAI++: Towards Grounded-Language Learning beyond Memorization.
CoRR
Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam
2019 J jnl
A Theoretical Analysis of the Number of Shots in Few-Shot Learning.
CoRR
Tianshi Cao, Marc T. Law, Sanja Fidler
2018 J jnl
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home.
CoRR
Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao, Ryan J. Visée, Sukhvinder Kalsi-Ryan, José Zariffa