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Seeing Both the Forest and the Trees: Reusing Holistic 3D Priors for Part-Decomposed Generation
Yiqun Zhao, Binbin Huang, Haobin Duan +2
Generating 3D assets with explicit parts requires two properties at once: geometric detail inside each part and structural coherence across the whole object. Recent image-condition…
ScenePlacer: Reformulating Scene-Level Object Pose Estimation as Visibility Field Learning
Ken Deng, Jiarui Liu, Guibiao Liao +7
We present ScenePlacer, a framework for scene-level pose estimation of objects generated by state-of-the-art native shape generation models, placing generated 3D objects into scene…
SPOON: Towards Coherent Compositional 3D Scene Generation from Uncalibrated Multi-view Images
Guibiao Liao, Mochu Xiang, Heng Li +6
Compositional 3D scene generation aims to recover complete 3D object shapes and their spatial arrangement from visual observations. Recent image-conditioned 3D generators provide s…
Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
Gaochao Song, Haohan Weng, Luo Zhang +2
Autoregressive (AR) modeling has recently achieved remarkable progress in native 3D mesh generation, largely due to its natural ability to handle variable-length, discrete data str…
CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling
Binbin Huang, Haobin Duan, Yiqun Zhao +3
We introduce Cupid, a generative 3D reconstruction framework that jointly models the full distribution over both canonical objects and camera poses. Our two-stage flow-based model…
Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
Gaochao Song, Zibo Zhao, Haohan Weng +3
Existing auto-regressive mesh generation approaches suffer from ineffective topology preservation, which is crucial for practical applications. This limitation stems from previous…
3D StreetUnveiler with Semantic-aware 2DGS -- a simple baseline
Jingwei Xu, Yikai Wang, Yiqun Zhao +2
Unveiling an empty street from crowded observations captured by in-car cameras is crucial for autonomous driving. However, removing all temporarily static objects, such as stopped…
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
Shuo Wang, Jing Li, Zibo Zhao +5
Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth estimation, etc. The key aspect of this problem is to learn…
RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation
Yiqun Zhao, Zibo Zhao, Jing Li +2
Indoor scene generation aims at creating shape-compatible, style-consistent furniture arrangements within a spatially reasonable layout. However, most existing approaches primarily…