DyST: Towards Dynamic Neural Scene Representations on Real-World Videos

9 October 2023

Papers citing "DyST: Towards Dynamic Neural Scene Representations on Real-World Videos"

8 / 8 papers shown

Title
Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste Daniel Zoran Yi Yang Yulia Rubanova Rishabh Kabra ... Thomas Keck João Carreira Alexey Dosovitskiy Mehdi S. M. Sajjadi Thomas Kipf 26 3 0 08 Nov 2024
G3R: Gradient Guided Generalizable Reconstruction Yun Chen Jingkang Wang Ze Yang S. Manivasagam R. Urtasun 34 9 0 28 Sep 2024
Controlling Space and Time with Diffusion Models Daniel Watson Saurabh Saxena Lala Li Andrea Tagliasacchi David J. Fleet VGen 50 27 0 10 Jul 2024
L4GM: Large 4D Gaussian Reconstruction Model Jiawei Ren Kevin Xie Ashkan Mirzaei Hanxue Liang Xiaohui Zeng ... Ziwei Liu Antonio Torralba Sanja Fidler Seung Wook Kim Huan Ling 3DGS 22 37 0 14 Jun 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu Yulia Rubanova Rishabh Kabra Drew A. Hudson Igor Gilitschenski Yusuf Aytar Sjoerd van Steenkiste Kelsey R. Allen Thomas Kipf VGen DiffM 31 10 0 13 Jun 2024
Parallelized Spatiotemporal Binding Gautam Singh Yue Wang Jiawei Yang B. Ivanovic Sungjin Ahn Marco Pavone Tong Che 36 1 0 26 Feb 2024
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields Liangchen Song Anpei Chen Zhong Li Z. Chen Lele Chen Junsong Yuan Yi Tian Xu Andreas Geiger 125 124 0 28 Oct 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 109 84 0 24 Feb 2022