5 papers
From Prompts to Printable Models: Support-Effective 3D Generation via Offset Direct Preference Optimization
Chenming Wu, Xiaofan Li, Chengkai Dai
Current text-to-3D models prioritize visual fidelity but often neglect physical fabricability, resulting in geometries requiring excessive support structures. This paper introduces…
FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain
YuAn Wang, Xiaofan Li, Chi Huang +5
In controllable driving-scene reconstruction and 3D scene generation, maintaining geometric fidelity while synthesizing visually plausible appearance under large viewpoint shifts i…
FVAR: Visual Autoregressive Modeling via Next Focus Prediction
Xiaofan Li, Chenming Wu, Yanpeng Sun +6
Visual autoregressive models achieve remarkable generation quality through next-scale predictions across multi-scale token pyramids. However, the conventional method uses uniform s…
Video4Edit: Viewing Image Editing as a Degenerate Temporal Process
Xiaofan Li, Yanpeng Sun, Chenming Wu +5
We observe that recent advances in multimodal foundation models have propelled instruction-driven image generation and editing into a genuinely cross-modal, cooperative regime. Nev…
Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting
Yansong Qu, Dian Chen, Xinyang Li +4
Recent advancements in 3D scene editing have been propelled by the rapid development of generative models. Existing methods typically utilize generative models to perform text-guid…