1 citations · 1 across the 1 of their papers we have counts for
4 papers
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
Huimu Yu, Xing Wu, Haotian Xu +2
Large language models (LLMs) have made significant progress in natural language understanding and generation, driven by scalable pretraining and advanced finetuning. However, enhan…
Person-in-Context Synthesiswith Compositional Structural Space
Weidong Yin, Ziwei Liu, Leonid Sigal
Despite significant progress, controlled generation of complex images with interacting people remains difficult. Existing layout generation methods fall short of synthesizing reali…
Instance-level Facial Attributes Transfer with Geometry-Aware Flow
Weidong Yin, Ziwei Liu, Chen Change Loy
We address the problem of instance-level facial attribute transfer without paired training data, e.g. faithfully transferring the exact mustache from a source face to a target face…
Image Generation from Layout
Bo Zhao, Lili Meng, Weidong Yin +1
Despite significant recent progress on generative models, controlled generation of images depicting multiple and complex object layouts is still a difficult problem. Among the core…