3 papers
cs.CV2025
UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis
Yuanrui Wang, Cong Han, Yafei Li +8
Text-to-image generation has greatly advanced content creation, yet accurately rendering visual text remains a key challenge due to blurred glyphs, semantic drift, and limited styl…
cs.CV2023
Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
Xiawei Li, Qingyuan Xu, Jing Zhang +4
3D point cloud semantic segmentation has a wide range of applications. Recently, weakly supervised point cloud segmentation methods have been proposed, aiming to alleviate the expe…
cs.CV2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Jinglong Wang, Xiawei Li, Jing Zhang +5
The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial l…