most citedMARS: Mesh AutoRegressive Model for 3D Shape Detailization

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cs.CV2026

P2Voxel: Pyramid Pivot Voxelization for 3D Mesh Tokenization

Zhenhong Sun, Haozhe Liu, Yifu Wang +6

Triangle meshes provide explicit and accurate surface geometry, yet their irregular topology connectivity makes 3D mesh tokenization a geometric sampling problem: how to sample and…

cs.CV20251 cited

CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction

Zhiyuan Wu, Xibin Song, Senbo Wang +8

3D object reconstruction from single-view image is a fundamental task in computer vision with wide-ranging applications. Recent advancements in Large Reconstruction Models (LRMs) h…

cs.CV20251 cited

MARS: Mesh AutoRegressive Model for 3D Shape Detailization

Jingnan Gao, Weizhe Liu, Weixuan Sun +8

State-of-the-art methods for mesh detailization predominantly utilize Generative Adversarial Networks (GANs) to generate detailed meshes from coarse ones. These methods typically l…

cs.CV2025

BAG: Body-Aligned 3D Wearable Asset Generation

Zhongjin Luo, Yang Li, Mingrui Zhang +8

While recent advancements have shown remarkable progress in general 3D shape generation models, the challenge of leveraging these approaches to automatically generate wearable 3D a…

cs.CV2024

LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image

Ruikai Cui, Xibin Song, Weixuan Sun +8

Large Reconstruction Models have made significant strides in the realm of automated 3D content generation from single or multiple input images. Despite their success, these models…

cs.CV2024

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

Ruikai Cui, Weizhe Liu, Weixuan Sun +9

3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints. Existing methods often decompose 3D shapes into a sequence of localized c…