7 papers
Multi-scale Latent Point Consistency Models for 3D Shape Generation
Bi'an Du, Wei Hu, Renjie Liao
Consistency Models (CMs) have significantly accelerated the sampling process in diffusion models, yielding impressive results in synthesizing high-resolution images. To explore and…
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
Pufan Li, Bi'an Du, Wei Hu
Generating realistic 3D objects from single-view images requires natural appearance, 3D consistency, and the ability to capture multiple plausible interpretations of unseen regions…
HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message Passing
Xinjie Gao, Bi'an Du, Wei Hu
3D content generation remains a fundamental yet challenging task due to the inherent structural complexity of 3D data. While recent octree-based diffusion models offer a promising…
Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer
Zhimin Zhang, Bi'an Du, Caoyuan Ma +2
Animal motion embodies species-specific behavioral habits, making the transfer of motion across categories a critical yet complex task for applications in animation and virtual rea…
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo +5
Geometric constraints between feature matches are critical in 3D point cloud registration problems. Existing approaches typically model unordered matches as a consistency graph and…
SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints
Weiwen Hu, Niccolò Parodi, Marcus Zepp +3
Open-vocabulary segmentation, powered by large visual-language models like CLIP, has expanded 2D segmentation capabilities beyond fixed classes predefined by the dataset, enabling…