Shengqu Cai

According to our database, Shengqu Cai authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diffusion Self-Distillation for Zero-Shot Customized Image Generation.

Shengqu Cai, Eric R. Chan, Yunzhi Zhang, Leonidas J. Guibas, Jiajun Wu, Gordon Wetzstein

CoRR, 2024

Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control.

Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas J. Guibas, Gordon Wetzstein

CoRR, 2024

Robust Symmetry Detection via Riemannian Langevin Dynamics.

Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models.

Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models.

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models.

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

CoRR, 2022

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.

Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

CoRR, 2022

Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation.

Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022