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New research introduces LATO.2 and Nexus for advanced 3D mesh generation · 4 sources tracked

By PulseAugur Editorial · [5 sources] ·

Two new research papers introduce advanced methods for generating 3D meshes, a critical component for applications in film, gaming, and interactive 3D environments. LATO.2 employs a factorized flow matching framework that separates vertex and topology generation, anchored by a voxel scaffold, enabling higher-resolution meshes and topology-adaptive editing. Nexus utilizes a diffusion model for holistic mesh generation, decoupling vertex and topology generation through an octree-based approach for vertices and a novel Spacetime Interval embedding for topology, outperforming existing methods in experiments and user studies. AI

IMPACT These methods advance 3D content creation by improving the quality and efficiency of mesh generation, potentially impacting fields like gaming, film, and virtual reality.

RANK_REASON Two distinct research papers detailing novel methods for 3D mesh generation.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

New research introduces LATO.2 and Nexus for advanced 3D mesh generation · 4 sources tracked

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COVERAGE [5]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Nexus: Native Mesh Generation with Diffusion

    Generating high-quality triangle meshes is essential for film, gaming, and interactive 3D applications. Mainstream methods rely on mesh serialization and autoregressive processes, which stuggles in effective inference and is sensitive to error accumulation. In this paper, we pres…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow

    Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology-aware mesh generation. Existing approaches, however, model vertices and connectivity jointly in a joint latent space, entangling continuous vertex geometry with d…

  3. arXiv cs.CV TIER_1 English(EN) · Hanxiao Wang, Ying-Tian Liu, Yuan-Chen Guo, Qi-Yuan Feng, Zi-Xin Zou, Ding Liang, Biao Zhang, Yan-Pei Cao ·

    Nexus: Native Mesh Generation with Diffusion

    arXiv:2607.13563v1 Announce Type: new Abstract: Generating high-quality triangle meshes is essential for film, gaming, and interactive 3D applications. Mainstream methods rely on mesh serialization and autoregressive processes, which stuggles in effective inference and is sensiti…

  4. arXiv cs.CV TIER_1 English(EN) · Yan-Pei Cao ·

    Nexus: Native Mesh Generation with Diffusion

    Generating high-quality triangle meshes is essential for film, gaming, and interactive 3D applications. Mainstream methods rely on mesh serialization and autoregressive processes, which stuggles in effective inference and is sensitive to error accumulation. In this paper, we pres…

  5. arXiv cs.CV TIER_1 English(EN) · Hang Long, Tianhao Zhao, Junkai Lin, Youjia Zhang, Huipeng Guo, Rendong Liang, Jiale Xu, Jozef Hladk\'y, Matthias Nie{\ss}ner, Wei Yang ·

    LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow

    arXiv:2607.10623v1 Announce Type: cross Abstract: Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology-aware mesh generation. Existing approaches, however, model vertices and connectivity jointly in a joint latent s…

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