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Chong Zeng

4 accepted papers

2026

D-Prism: Differentiable Primitives for Structured Dynamic Modeling

CVPR 2026

Capturing both geometry and rigid motion for structured dynamic objects, like multi-part assemblies or jointed mechanisms, remains a key challenge. Existing dynamic methods, such as deformable meshes or 3DGS, rely on unstructured representations and fail to jointly model suitable geometry and articu

Cited by 0SourcecodeScholar
2024

MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model

NeurIPS 2024oral

Open-world 3D reconstruction models have recently garnered significant attention. However, without sufficient 3D inductive bias, existing methods typically entail expensive training costs and struggle to extract high-quality 3D meshes. In this work, we introduce MeshFormer, a sparse-view reconstruct…

2024

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

CVPR 2024poster

Recent advancements in open-world 3D object generation have been remarkable with image-to-3D methods offering superior fine-grained control over their text-to-3D counterparts. However most existing models fall short in simultaneously providing rapid generation speeds and high fidelity to input image…

Cited by 199SourcePDFScholar
2023

A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance

CVPR 2023poster

We propose a unified structured light, consisting of an LED array and an LCD mask, for high-quality acquisition of both shape and reflectance from a single view. For geometry, one LED projects a set of learned mask patterns to accurately encode spatial information; the decoded results from multiple…

Cited by 20SourcePDFScholar