4 papers
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…
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…
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.…
Quantum learning and essential cognition under the traction of meta-characteristics in an open world
Jin Wang, Changlin Song
Artificial intelligence has made significant progress in the Close World problem, being able to accurately recognize old knowledge through training and classification. However, AI…