Paper Notes
GitHub

附近论文

SIGGRAPH 2025 · 全部 306 篇
  • Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion
  • RELATE3D: REfocusing Latent Adapter for Targeted local Enhancement and Editing in 3D Generation
  • Relightable Full-Body Gaussian Codec Avatars
  • RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
  • Reservoir Splatting for Temporal Path Resampling and Motion Blur
  • Revisiting Tradition and Beyond: A Customized Bilateral Filtering Framework for Point Cloud Denoising
  • RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets
  • ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions
  • Scene-Level Appearance Transfer with Semantic Correspondences
  • Segment-based Light Transport Simulation
  • Semantically Consistent Text-to-Motion with Unsupervised Styles
  • Shape Space Spectra
  • Single Edge Collapse Quad-Dominant Mesh Reduction
  • Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
  • Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation
  • Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing
  • SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations
  • SOAP: Style-Omniscient Animatable Portraits
  • Sobol' Sequences with Guaranteed-Quality 2D Projections
  • Solving partial differential equations in participating media
  • Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors
Conference

Semantically Consistent Text-to-Motion with Unsupervised Styles

Linjun Wu, Xiangjun Tang, Jingyuan Cong, He Wang, Bo Hu, Xu Gong, Songnan Li, Yuchen Liao, Yiqian Wu, Chen Liu, Xiaogang Jin

Zhejiang University; University of California San Diego; University College London; Tencent

SIGGRAPH 2025Animation & SimulationText-to-MotionMotion StylizationDiffusion ModelUnsupervised LearningSemantic Consistency
PaperProject
This note has no summary yet.