Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation

NeurIPSSpotlight2025

Authors
Hao Zhang, Chun-Han Yao, Simon Donné, Narendra Ahuja, Varun Jampani
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

We present Stable Part Diffusion 4D (SP4D), a framework for generating paired RGB and kinematic part videos from monocular inputs…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

diffusion video

Related NeurIPS papers

← All NeurIPS 2025 Spotlight papers · Browse the whole archive