3 papers
cs.CV2026
Rethinking Test Time Scaling for Flow-Matching Generative Models
Qingtao Yu, Changlin Song, Minghao Sun +6
The performance of text-to-image diffusion models may be improved at test-time by scaling computation to search for a generated image that maximizes a given reward function. While…
cs.CV2025
Extreme Amodal Face Detection
Changlin Song, Yunzhong Hou, Michael Randall Barnes +2
Extreme amodal detection is the task of inferring the 2D location of objects that are not fully visible in the input image but are visible within an expanded field-of-view. This di…
cs.GR2025
Enhancing Monocular 3D Scene Completion with Diffusion Model
Changlin Song, Jiaqi Wang, Liyun Zhu +1
3D scene reconstruction is essential for applications in virtual reality, robotics, and autonomous driving, enabling machines to understand and interact with complex environments.…