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附近论文

SIGGRAPH 2025 · 全部 306 篇
  • Anymate: A Dataset and Baselines for Learning 3D Object Rigging
  • AnyTop: Character Animation Diffusion with Any Topology
  • Appearance-aware Multi-view SVBRDF Reconstruction via Deep Reinforcement Learning
  • Arenite: A Physics-based Sandstone Simulator
  • AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization
  • Asymptotic analysis and design of linear elastic shell lattice metamaterials
  • Augmented Vertex Block Descent
  • AutoKeyframe: Autoregressive Keyframe Generation for Human Motion Synthesis and Editing
  • Automated Task Scheduling for Cloth and Deformable Body Simulations in Heterogeneous Computing Environments
  • BANG: Dividing 3D Assets via Generative Exploded Dynamics
  • Be Decisive: Noise-Induced Layouts for Multi-Subject Generation
  • Bernstein Bounds for Caustics
  • Boolean Operation for CAD Models Using a Hybrid Representation
  • BrepDiff: Single-Stage B-rep Diffusion Model
  • BuildingBlock: A Hybrid Approach for Structured Building Generation
  • C-Tubes: Design and Optimization of Tubular Structures Composed of Developable Strips
  • C5D: Sequential Continuous Convex Collision Detection Using Cone Casting
  • CageNet: A Meta-Framework for Learning on Wild Meshes
  • CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image
  • CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
  • Cirrus: Adaptive Hybrid Particle-Grid Flow Maps on GPU
Conference

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation

Omer Dahary, Yehonathan Cohen, Or Patashnik, Kfir Aberman, Daniel Cohen-Or

Tel Aviv University; Snap

SIGGRAPH 2025Neural & GenerativeDiffusion ModelMulti-Subject GenerationText-to-ImageLayout ControlImage Generation
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