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20242026
most citedAligning Few-Step Diffusion Models with Dense Reward Difference Learning

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2025

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption

Longxiang He, Deheng Ye, Junbo Tan +2

Pretraining a policy on offline data followed by fine-tuning through online interactions, known as Offline-to-Online Reinforcement Learning (O2O RL), has emerged as a promising par…

cs.LG2025

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning

Ziyi Zhang, Li Shen, Deheng Ye +5

Text-to-multiview (T2MV) diffusion models have shown great promise in generating multiple views of a scene from a single text prompt. While few-step backbones enable real-time T2MV…