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SIGGRAPH 2026 · Neural & Generative · 共 69 篇
  • 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
  • Stroke of Surprise: Progressive Semantic Illusions in Vector Sketching
  • Tempo3D: Efficient Temporal-Aware Fine-Tuning and Multi-View Latent Aggregation for 3D Generation
  • UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models
  • UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors
  • VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image
  • VfxDB: A Visual Effects Volume Dataset and Benchmark for VDB-Native Generative Modeling
  • VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning
  • VideoNeuMat: Neural Material Extraction from Generative Video Models
  • ViewWeaver: Geometry-Grounded Generative Rendering for 3D-Aware Image Customization

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    Journal

    Tempo3D: Efficient Temporal-Aware Fine-Tuning and Multi-View Latent Aggregation for 3D Generation

    Huizhi Zhu, Jiongming Qin, Yusen Wang, Chunxia Xiao

    Wuhan University

    SIGGRAPH 2026Neural & Generative
    3D GenerationDiffusion ModelMulti-ViewFine-TuningLatent Aggregation
    Paper
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