3 papers
cs.CV2026
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
Yingsong Huang, Hui Guo, Jing Huang +2
The rapid progress of diffusion models highlights the growing need for detecting generated images. Previous research demonstrates that incorporating diffusion-based measurements, s…
cs.CV2025
MeshRipple: Structured Autoregressive Generation of Artist-Meshes
Junkai Lin, Hang Long, Huipeng Guo +8
Meshes serve as a primary representation for 3D assets. Autoregressive mesh generators serialize faces into sequences and train on truncated segments with sliding-window inference…
cs.CV2025
LinkTo-Anime: A 2D Animation Optical Flow Dataset from 3D Model Rendering
Xiaoyi Feng, Kaifeng Zou, Caichun Cen +9
Existing optical flow datasets focus primarily on real-world simulation or synthetic human motion, but few are tailored to Celluloid(cel) anime character motion: a domain with uniq…