Sf3d: Stable fast 3d mesh reconstruction with uv-unwrap** and illumination disentanglement

M Boss, Z Huang, A Vasishta, V Jampani - arxiv preprint arxiv:2408.00653, 2024 - arxiv.org
We present SF3D, a novel method for rapid and high-quality textured object mesh
reconstruction from a single image in just 0.5 seconds. Unlike most existing approaches …

GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation

Y Lan, S Zhou, Z Lyu, F Hong, S Yang, B Dai… - arxiv preprint arxiv …, 2024 - arxiv.org
While 3D content generation has advanced significantly, existing methods still face
challenges with input formats, latent space design, and output representations. This paper …

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images

Z Huang, M Boss, A Vasishta, JM Rehg… - arxiv preprint arxiv …, 2025 - arxiv.org
We study the problem of single-image 3D object reconstruction. Recent works have
diverged into two directions: regression-based modeling and generative modeling …

Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models

S Wizadwongsa, J Zhou, E Li, JJ Park - arxiv preprint arxiv:2501.00651, 2024 - arxiv.org
Recent AI-based 3D content creation has largely evolved along two paths: feed-forward
image-to-3D reconstruction approaches and 3D generative models trained with 2D or 3D …

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds

K Liu, K You, P Gao - arxiv preprint arxiv:2408.10543, 2024 - arxiv.org
Stable diffusion networks have emerged as a groundbreaking development for their ability to
produce realistic and detailed visual content. This characteristic renders them ideal …

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

D Kim, TK Kim - arxiv preprint arxiv:2409.18364, 2024 - arxiv.org
3D human shape reconstruction under severe occlusion due to human-object or human-
human interaction is a challenging problem. Parametric models ie, SMPL (-X), which are …