Hugging Face Trending Papers July 14, 2026

RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfer

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Creating photorealistic 3D assets requires bridging the appearance gap between real-world observations and synthetic models. A promising approach is to transfer visual attributes from real images onto synthetic 3D surfaces.

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Hugging Face Trending Papers

Jun 25

Coarse-to-Fine: A Hybrid Self-Supervised Method for Non-rigid 3D Shape Matching

Non-rigid 3D shape matching is a fundamental task in computer vision and graphics. In this paper, we propose a hybrid self-supervised method based on a coarse-to-fine strategy, which ensures consistency between the coarse mapping and the refined correspondence produced by our refinement module.

computer-vision benchmarks

arXiv AI

Jun 30

Hyper-Network Neural Functional Maps for Unsupervised Robust 3D Shape Matching

arXiv:2606. 30131v1 Announce Type: cross Abstract: Functional maps are the cornerstone of recent non-rigid 3D shape matching methods due to their efficiency and performance.

By Dongliang Cao, Florian Bernard

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Hugging Face Trending Papers

Jun 29

Graph-GSReg: Leveraging 3D Scene Graphs for Gaussian Splatting Registration

Merging multiple 3D Gaussian Splatting (3DGS) scenes into a single unified Gaussian representation is essential for large-scale 3D mapping and long-term map management. Despite its importance, this area remains underexplored, and existing solutions exhibit several limitations.

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arXiv AI

Jun 4

SAM 3D: 3Dfy Anything in Images

arXiv:2511. 16624v2 Announce Type: replace-cross Abstract: We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image.

By SAM 3D Team, Xingyu Chen, Fu-Jen Chu, Pierre Gleize, Kevin J Liang, Alexander Sax, Hao Tang, Weiyao Wang, Michelle Guo, Thibaut Hardin, Xiang Li, Aohan Lin, Jiawei Liu, Ziqi Ma, Anushka Sagar, Bowen Song, Xiaodong Wang, Jianing Yang, Bowen Zhang, Piotr Doll\'ar, Georgia Gkioxari, Matt Feiszli, Jitendra Malik

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Hugging Face Trending Papers

Aug 3

G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors

3D Gaussian Splatting has achieved remarkable success in photorealistic and efficient rendering, leading to a rapid increase in 3D assets represented by 3D Gaussian primitives. Directly rigging these assets with arbitrary skeleton topologies is highly desirable.

diffusion benchmarks

arXiv AI

Jun 18

CAOA -- Completion-Assisted Object-CAD Alignment

arXiv:2606. 18429v1 Announce Type: cross Abstract: Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central challenge in 3D semantic reconstruction.

By Hiranya Garbha Kumar, Minhas Kamal, Balakrishnan Prabhakaran

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Related stories

Coarse-to-Fine: A Hybrid Self-Supervised Method for Non-rigid 3D Shape Matching

Hyper-Network Neural Functional Maps for Unsupervised Robust 3D Shape Matching

Graph-GSReg: Leveraging 3D Scene Graphs for Gaussian Splatting Registration

SAM 3D: 3Dfy Anything in Images

G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors

CAOA -- Completion-Assisted Object-CAD Alignment