6 papers
Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook
Yuan Ma, Junlin Hou, Chao Zhang +4
Learning from noisy labels remains a major challenge in medical image analysis, where annotation demands expert knowledge and substantial inter-observer variability often leads to…
Sketch-based Fluid Video Generation Using Motion-Guided Diffusion Models in Still Landscape Images
Hao Jin, Haoran Xie
Integrating motion into static images not only enhances visual expressiveness but also creates a sense of immersion and temporal depth, establishing it as a longstanding and impact…
Two-Stage Sketch-Based Smoke Illustration Generation using Stream Function
Hengyuan Chang, Xiaoxuan Xie, Syuhei Sato +1
In this paper, we propose a two-stage sketch-based smoke illustration generation framework using stream function and latent diffusion models (LDM). The user sketch is used to guide…
StructInbet: Integrating Explicit Structural Guidance into Inbetween Frame Generation
Zhenglin Pan, Haoran Xie
In this paper, we propose StructInbet, an inbetweening system designed to generate controllable transitions over explicit structural guidance. StructInbet introduces two key contri…
Physics-Aware Fluid Field Generation from User Sketches Using Helmholtz-Hodge Decomposition
Ryuichi Miyauchi, Hengyuan Chang, Tsukasa Fukusato +2
Fluid simulation techniques are widely used in various fields such as film production, but controlling complex fluid behaviors remains challenging. While recent generative models e…
Interactive Drawing Guidance for Anime Illustrations with Diffusion Model
Chuang Chen, Xiaoxuan Xie, Yongming Zhang +2
Creating high-quality anime illustrations presents notable challenges, particularly for beginners, due to the intricate styles and fine details inherent in anime art. We present an…