Paper Notes
GitHub
SIGGRAPH 2026 · Neural & Generative · 共 69 篇
  • 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

    从搜索结果或列表筛选点进论文后,这里会显示那一批结果。

    Conference

    VfxDB: A Visual Effects Volume Dataset and Benchmark for VDB-Native Generative Modeling

    Junwei Shu, Hantang Liu, Dawei Miao, Wenzheng Song, Mingyang Yuan, Wenjie Liu, Changgu Chen, Yang Li, Changbo Wang

    East China Normal University

    SIGGRAPH 2026Neural & Generative
    DatasetVolumetric DataDiffusion ModelGenerative ModelBenchmark
    PaperProjectCode
    This note has no summary yet.