3 papers
cs.CV2026
SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation
Yuan Li, Congyi Zhang, Xifeng Gao +1
Autoregressive multimodal large language models (MLLMs) enable 3D generation but struggle to scale to high-resolution shapes due to inadequate 3D tokenizations. Compact set-based r…
cs.CV2026
DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching
Quanyuan Ruan, Jiabao Lei, Xingyi Du +1
UV parameterization is a fundamental step in 3D content creation, yet producing production-ready UV layouts remains challenging due to the gap between geometric distortion objectiv…
cs.CV2026
ARGS: Auto-Regressive Gaussian Splatting via Parallel Progressive Next-Scale Prediction
Quanyuan Ruan, Kewei Shi, Jiabao Lei +2
Auto-regressive frameworks for next-scale prediction of 2D images have demonstrated strong potential for producing diverse and sophisticated content by progressively refining a coa…