3 papers
cs.CV2026
Guided Trajectory Optimization with Sparse Scaling for Test-Time Diffusion
Gang Dai, Yining Huang, Yiming Xia +2
The efficient Test-Time Scaling (TTS) paradigm offers a promising perspective for enhancing the generation performance of diffusion models. However, current solutions are limited t…
cs.CV2025
Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation
Gang Dai, Yifan Zhang, Yutao Qin +3
Existing handwritten text generation methods primarily focus on isolated words. However, realistic handwritten text demands attention not only to individual words but also to the r…
cs.CV2024
Globally Correlation-Aware Hard Negative Generation
Wenjie Peng, Hongxiang Huang, Tianshui Chen +3
Hard negative generation aims to generate informative negative samples that help to determine the decision boundaries and thus facilitate advancing deep metric learning. Current wo…