most citedPandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation

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cs.CV2025

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.CV2025

DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes

Xuyang Wang, Ziang Cheng, Zhenyu Li +6

This paper addresses the problem of generating textures for 3D mesh assets. Existing approaches often rely on image diffusion models to generate multi-view image observations, whic…

cs.CV2024

T-S2S: Training-free Triplet Tuning for Sketch to Scene Synthesis in Controllable Concept Art Generation

Zhenhong Sun, Yifu Wang, Yonhon Ng +4

2D concept art generation for 3D scenes is a crucial yet challenging task in computer graphics, as creating natural intuitive environments still demands extensive manual effort in…

cs.CV2024

PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image

Han Yan, Mingrui Zhang, Yang Li +2

We present PhyCAGE, the first approach for physically plausible compositional 3D asset generation from a single image. Given an input image, we first generate consistent multi-view…