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New AI framework generates 3D dog models from single images

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CORGI, a new framework for creating 3D dog models from single images without requiring 3D supervision. The system uses a Canonical-Driven Orbital Generation (CDOG) strategy with LoRAs to normalize poses and create 360-degree views. It also incorporates a Consistency-aware Deformable 3DGS module that uses a D-SMAL prior and neural deformation fields to correct errors, and a self-supervised module for repairing structural distortions and adding detail. CORGI has demonstrated state-of-the-art performance in generating accurate, coherent, and animatable 3D dog assets. AI

IMPACT This framework could advance the creation of detailed 3D animal models for applications in animation, gaming, and virtual reality.

RANK_REASON The cluster contains a research paper detailing a new AI framework for 3D reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI framework generates 3D dog models from single images

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The cluster contains a research paper detailing a new AI framework for 3D reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuxiao Wu, Weile Li, Boyi Zhu, Yumeng Liu, Youcheng Cai, Ligang Liu ·

    CORGI: Consistency-Aware 3D Dog Reconstruction from a Single Image in the Wild

    arXiv:2607.00321v1 Announce Type: new Abstract: Reconstructing high-fidelity 3D models of highly articulated animals, such as dogs, from a single in-the-wild image remains a formidable challenge. In this paper, we introduce CORGI, a novel framework for consistency-aware 3D dog re…

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