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SIGGRAPH 2026 · Neural & Generative · 共 69 篇
  • Multi-Agent CAD Code Generation
  • MV-S2V: Multi-View Subject-Consistent Video Generation
  • Neural Cellular Automata: From Cells to Pixels
  • Neural Particle Automata: Learning Self-Organizing Particle Dynamics
  • Nexus: Native Mesh Generation with Diffusion
  • OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation
  • On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
  • PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
  • PEGAsus: 3D Personalization of Geometry and Appearance
  • Pixal3D: Pixel-Aligned 3D Generation from Images
  • PixTex: Consistent 3D Texturing via Pixel-Space Multi-View Diffusion
  • PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought
  • Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions
  • ReRoPE: Repurposing RoPE for Relative Camera Control
  • Robust In-Engine Texture Optimization from Inconsistent Generative Targets
  • See-through: Single-image Layer Decomposition for Anime Characters
  • SegviGen: Repurposing 3D Generative Model for Part Segmentation
  • Semantic-Structural Alignment for Generative Pictorial Charts
  • ShapeUP: Scalable Image-Conditioned 3D Editing
  • SimArt: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM
  • Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

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    Conference

    PixTex: Consistent 3D Texturing via Pixel-Space Multi-View Diffusion

    Yuqing Zhang, Yan-Pei Cao, Hao Xu, Yiqian Wu, Sirui Lin, Yuqing Wang, Ding Liang, Yuan-Chen Guo, Xiaogang Jin

    Zhejiang University

    SIGGRAPH 2026Neural & Generative3D TexturingDiffusion ModelMulti-ViewTexture Generation
    PaperProject
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