Yao Feng
Scholar

Yao Feng

Google Scholar ID: wNQQhSIAAAAJ
Stanford University
Computer VisionComputer GraphicsMachine LearningDigital Humans
Citations & Impact
All-time
Citations
2,831
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • ChatHuman: Chatting about 3D Humans with Tools (CVPR 2025)
  • ChatGarment: Garment Estimation, Generation and Editing via Large Language Models (CVPR 2025)
  • DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models (CVPR 2025)
  • ChatPose: Chatting about 3D Human Pose (CVPR 2024)
  • TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation (CVPR 2024)
  • MonoHair: High-Fidelity Hair Modeling from a Monocular Video (CVPR 2024)
  • Ghost on the Shell: An Expressive Representation of General 3D Shapes (ICLR 2024)
  • BOFT: Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization (ICLR 2024)
  • TECA: Text-Guided Generation and Editing of Compositional 3D Avatars (3DV 2024)
  • DELTA: Learning Disentangled Avatars with Hybrid 3D Representations (project page/arXiv)
  • MeshDiffusion: Score-based Generative 3D Mesh Modeling (ICLR 2023)
  • SCARF: Capturing and Animation of Body and Clothing from Monocular Video (Siggraph Asia Conference 2022)
  • PIXIE: Collaborative Regression of Expressive Bodies using Moderation (3DV 2021)
  • DECA: Learning an Animatable Detailed 3D Face Model from In-The-Wild Images (SIGGRAPH 2021)
  • PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
Research Experience
  • Postdoc at Stanford University, working with Karen Liu, Jennifer Hicks, and Scott L. Delp; Research scientist at Meshcapade for one year.
Education
  • PhD: ETH Zürich and Max Planck Institute for Intelligent Systems; Supervisors: Michael J. Black and Marc Pollefeys
Background
  • Research Interests: Capturing and understanding digital humans at scale, with applications across multiple disciplines, including computer vision, computer graphics, biomechanics, and robotics.