4 papers
Getting Space Right: Agentic Rewards for Image Generation
Xiaofeng Tan, Jiaxin Lin, Haobo Yuan +5
Reinforcement learning (RL) is promising for spatial text-to-image generation, but existing work largely focuses on policy optimization, assuming accurate rewards and effective onl…
SewFusion: Tailored Generation of Topology and Panel-Level Geometry for Sewing Patterns
Jiaxin Lin, Xiao Pan, Hangjie Yuan +3
Generating sewing patterns from images and text requires modeling a heterogeneous representation composed of discrete topology and continuous geometry. Existing methods mainly foll…
Editable Visual Design
Junyan Ye, Wei Liu, Dongzhi Jiang +9
While diffusion base models such as GPT-Image-2 and Nano-Banana exhibit remarkable visual expressiveness, their end-to-end generation inherently yields flattened bitmaps with error…
Open-Source Image Editing Models Are Zero-Shot Vision Learners
Wei Liu, Jiaxin Lin, Rui Chen
Recent studies have shown that large generative models can solve vision tasks they were not explicitly trained for. However, existing evidence relies on closed-source models~(Veo~3…