DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models

NeurIPSSpotlight2025

Authors
Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Direct Preference Optimization (DPO) has recently been applied as a post‑training technique for text-to-video diffusion models…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

preference optimization optimization diffusion video

← All NeurIPS 2025 Spotlight papers · Browse the whole archive