2 papers
cs.CV2026
RefineSVG: Visual Feedback-Driven Reinforcement Learning for Image-to-SVG Generation
Shaobo Liu, Feiqiao Mao, Shuaishuai Zhou +4
We propose RefineSVG, a single-step closed-loop visual feedback framework that enables multimodal large language models (MLLMs) to perform high-fidelity image-to-SVG generation thr…
cs.CV2026
Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model
Zizhao Yuan, Zhengtu Liang, Taowen Wang +7
Recent advances in action-conditioned world models show promising progress in modeling complex interactions and forecasting future states under diverse action sequences. While thes…