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Luce: New 3D Representation for High-Fidelity Asset Generation

Researchers have introduced Luce, a novel 3D representation designed for high-fidelity image-to-3D asset generation. Luce unifies geometry and physically based rendering (PBR) materials within a voxelized multimodal Gaussian cloud, enabling assets to be relit and integrated into standard rendering pipelines. The system utilizes a variational autoencoder for compression and a Rectified Flow transformer for generation from single images, demonstrating state-of-the-art performance on the Toys4K dataset and improving CLIP image-alignment scores on AI-generated images. AI

IMPACT Enhances 3D asset creation pipelines by enabling relightable and materially faithful assets from single images.

RANK_REASON The cluster describes a new academic paper detailing a novel method for 3D asset generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Luce: New 3D Representation for High-Fidelity Asset Generation

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The cluster describes a new academic paper detailing a novel method for 3D asset generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mayank Singh, Michele Stoppa, Alvise Memo, Rui Yu, Harsha Kalli, Srimanth Gunturi, Muhammad Ahmed Riaz, Behrooz Shahsavari, Waleed Abdulla, David E. Jacobs ·

    Luce: Relightable Gaussians for 3D Asset Generation

    arXiv:2608.23943v1 Announce Type: cross Abstract: High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include physically ba…