Publications

Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein (2024). Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control. arXiv.

Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu (2023). Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. NeurIPS 2023 Datasets & Benchmarks Track.

PDF Code Project

Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli (2022). PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. CVPR 2023.

Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, Sergey Tulyakov (2022). NeROIC: Neural Object Capture and Rendering from Online Image Collections. ACM SIGGRAPH 2022.

Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao (2022). DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points. ICPR 2022.

Zhengfei Kuang, Jiaman Li, Yajie Zhao, Mingming He, Karl Bladin, Hao Li (2020). Dynamic Facial Asset and Rig Generation from a Single Scan. ACM SIGGRAPH Asia 2020.

Sheng Yang, Zhengfei Kuang, Yan-Pei Cao, Yu-Kun Lai, Shi-min Hu (2019). Probabilistic Projective Association and Semantic Guided Relocalization for Dense Reconstruction. ICRA 2019.

Yan-Pei Cao, Zheng-Ning Liu, Zhengfei Kuang, Leif Kobbelt, Shi-min Hu (2018). Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks. ECCV 2018.