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SIGGRAPH 2025 · Neural & Generative · 共 48 篇
  • PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models
  • pOps: Photo-Inspired Diffusion Operators
  • PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
  • RELATE3D: REfocusing Latent Adapter for Targeted local Enhancement and Editing in 3D Generation
  • Scene-Level Appearance Transfer with Semantic Correspondences
  • Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation
  • StableMakeup: When Real-World Makeup Transfer Meets Diffusion Model
  • Stitch-A-Shape: Bottom-up Learning for B-Rep Generation
  • Stochastic Preconditioning for Neural Field Optimization
  • Style Customization of Text-to-Vector Generation with Image Diffusion Priors
  • SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation
  • Text-based Animatable 3D Avatars with Morphable Model Alignment
  • TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space

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    Conference

    SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation

    Ellie Arar, Yarden Frenkel, Daniel Cohen-Or, Ariel Shamir, Yael Vinker

    Tel Aviv University; Reichman University; Massachusetts Institute of Technology

    SIGGRAPH 2025Neural & Generative
    Diffusion ModelVector Sketch GenerationImage-to-SketchVector GraphicsSketch Abstraction
    PaperProjectCode
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