2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2026
BlazeEdit: Generalist Image Editing on Mobile Devices with Image-to-Image Diffusion Models
Fei Deng, Yanwu Xu, Zhipeng Bao +4
The remarkable generation quality of modern diffusion models often comes at the cost of massive parameter counts, which necessitate server-side inference with significant computati…
cs.LG2024★ 2 cited
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Fei Deng, Qifei Wang, Wei Wei +2
Reward finetuning has emerged as a promising approach to aligning foundation models with downstream objectives. Remarkable success has been achieved in the language domain by using…
cs.CV2024
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
Seung Hyun Lee, Yinxiao Li, Junjie Ke +11
Recent works have demonstrated that using reinforcement learning (RL) with multiple quality rewards can improve the quality of generated images in text-to-image (T2I) generation. H…