1 citations · 1 across the 5 of their papers we have counts for
6 papers
VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation
Xinyao Liao, Qiyuan He, Yicong Li +4
Autoregressive image and video generators are trained with teacher-forced histories but must sample from their own generated prefixes at inference time, making them vulnerable to e…
RelaxFlow: Text-Driven Amodal 3D Generation
Jiayin Zhu, Guoji Fu, Xiaolu Liu +3
Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation alone is often insufficient to determine object category. In this work, we forma…
Interp3D: Correspondence-aware Interpolation for Generative Textured 3D Morphing
Xiaolu Liu, Yicong Li, Qiyuan He +4
Textured 3D morphing seeks to generate smooth and plausible transitions between two 3D assets, preserving both structural coherence and fine-grained appearance. This ability is cru…
AnchorDS: Anchoring Dynamic Sources for Semantically Consistent Text-to-3D Generation
Jiayin Zhu, Linlin Yang, Yicong Li +1
Optimization-based text-to-3D methods distill guidance from 2D generative models via Score Distillation Sampling (SDS), but implicitly treat this guidance as static. This work show…
InstructHumans: Editing Animated 3D Human Textures with Instructions
Jiayin Zhu, Linlin Yang, Angela Yao
We present InstructHumans, a novel framework for instruction-driven {animatable} 3D human texture editing. Existing text-based 3D editing methods often directly apply Score Distill…
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture
Jiayin Zhu, Zhuoran Zhao, Linlin Yang +1
We present HiFiHR, a high-fidelity hand reconstruction approach that utilizes render-and-compare in the learning-based framework from a single image, capable of generating visually…