3 papers
cs.CV2026
TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering
Hanshen Zhu, Yuliang Liu, Xuecheng Wu +7
Visual Text Rendering (VTR) remains a critical challenge in text-to-image generation, where even advanced models frequently produce text with structural anomalies such as distortio…
cs.CV2025
Masked Diffusion Captioning for Visual Feature Learning
Chao Feng, Zihao Wei, Andrew Owens
We learn visual features by captioning images with an image-conditioned masked diffusion language model, a formulation we call masked diffusion captioning (MDC). During training, t…
cs.CV2025
GPS as a Control Signal for Image Generation
Chao Feng, Ziyang Chen, Aleksander Holynski +2
We show that the GPS tags contained in photo metadata provide a useful control signal for image generation. We train GPS-to-image models and use them for tasks that require a fine-…