3 papers
cs.CV2026
Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
Xinyue Pan, Yuhao Chen, Fengqing Zhu
Real-world meal images often contain multiple food items, making reliable compositional food image generation important for applications such as image-based dietary assessment, whe…
cs.CV2025
Food Image Generation on Multi-Noun Categories
Xinyue Pan, Yuhao Chen, Jiangpeng He +1
Generating realistic food images for categories with multiple nouns is surprisingly challenging. For instance, the prompt "egg noodle" may result in images that incorrectly contain…
eess.IV2025
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms
Junchi Zhou, Haozhou Wang, Yoichiro Kato +21
Developing computer vision-based rice phenotyping techniques is crucial for precision field management and accelerating breeding, thereby continuously advancing rice production. Am…