Z. Kuang*, S. Cai*, H. He, Y. Xu, H. Li, L. Guibas, G. Wetzstein, Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control, NeurIPS 2024
Y. Fang*, Z. Sun*, T. Wu, J. Wang, Z. Liu, G. Wetzstein, D. Lin, Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials, NeurIPS 2024
A. Levy, R. Raghu, D. Shustin, A. Peng, H. Li, O. Biggs Clarke, G. Wetzstein, E. Zhong, Mixture of neural fields for heterogeneous reconstruction in cryo-EM, NeurIPS 2024
A. Dravid, Y. Gandelsman, K. Wang, R. Abdal, G. Wetzstein, A. Efros, K. Aberman, Interpreting the Weight Space of Customized Diffusion Models, NeurIPS 2024
T. Wu, Y. Xu, R. Po, M. Zhang, G. Yang, J. Wang, Z. Liu, D. Lin, G. Wetzstein, FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models, NeurIPS 2024 (Datasets and Benchmarks Track)
