activity
20232026
most citedCUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling

1 citations · 2 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025★ 1 cited

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…

cs.CV2025★ 1 cited

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…

cs.GR2024

Scaling Mesh Generation via Compressive Tokenization

Haohan Weng, Zibo Zhao, Biwen Lei +10

We propose a compressive yet effective mesh representation, Blocked and Patchified Tokenization (BPT), facilitating the generation of meshes exceeding 8k faces. BPT compresses mesh…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…