implicit reward 1post-training fine-tuning 1preference optimization 1temporal consistency 1video diffusion 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video Diffusion
Henglin Liu, Fangyuan Kong, Jing Wang +7
The paper introduces concentrated Implicit Preference Optimization (cIPO), a post‑training method for text‑to‑video diffusion models that derives preference signals from reconstruc…
cs.GR2026
DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
Nisha Huang, Yizhou Lin, Jie Guo +3
Recently, diffusion-based material transfer methods rely on image fine-tuning or complex architectures with auxiliary networks but face challenges such as text dependency, addition…
cs.CV2026
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
Nisha Huang, Henglin Liu, Yizhou Lin +5
Recent diffusion-based methods for material transfer rely on image fine-tuning or complex architectures with assistive networks, but face challenges including text dependency, extr…