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SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
Huipeng Guo, Zikai Song, Hang Long +7
Mesh subdivision is a fundamental operation for converting coarse, editable meshes into high-resolution surfaces, with broad applications in digital asset creation. Classical rule-…
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…
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…
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…
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
Jianxiang Lu, Cong Xie, Hui Guo
As large-scale text-to-image generation models have made remarkable progress in the field of text-to-image generation, many fine-tuning methods have been proposed. However, these m…