4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 4 cited
Matting by Generation
Zhixiang Wang, Baiang Li, Jian Wang +4
This paper introduces an innovative approach for image matting that redefines the traditional regression-based task as a generative modeling challenge. Our method harnesses the cap…
cs.CV2024
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang +6
This paper addresses text-supervised semantic segmentation, aiming to learn a model capable of segmenting arbitrary visual concepts within images by using only image-text pairs wit…
cs.CV2024
CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes
Yi-Ting Pan, Chai-Rong Lee, Shu-Ho Fan +4
The entertainment industry relies on 3D visual content to create immersive experiences, but traditional methods for creating textured 3D models can be time-consuming and subjective…