6 citations · 21 across the 8 of their papers we have counts for
12 papers
Reconstructing Signing Avatars From Video Using Linguistic Priors
Maria-Paola Forte, Peter Kulits, Chun-Hao Huang +4
Sign language (SL) is the primary method of communication for the 70 million Deaf people around the world. Video dictionaries of isolated signs are a core SL learning tool. Replaci…
Pix2Video: Video Editing using Image Diffusion
Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
Image diffusion models, trained on massive image collections, have emerged as the most versatile image generator model in terms of quality and diversity. They support inverting rea…
3D Human Pose Estimation via Intuitive Physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang +3
Estimating 3D humans from images often produces implausible bodies that lean, float, or penetrate the floor. Such methods ignore the fact that bodies are typically supported by the…
MIME: Human-Aware 3D Scene Generation
Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi +3
Generating realistic 3D worlds occupied by moving humans has many applications in games, architecture, and synthetic data creation. But generating such scenes is expensive and labo…
SmartMocap: Joint Estimation of Human and Camera Motion using Uncalibrated RGB Cameras
Nitin Saini, Chun-hao P. Huang, Michael J. Black +1
Markerless human motion capture (mocap) from multiple RGB cameras is a widely studied problem. Existing methods either need calibrated cameras or calibrate them relative to a stati…
Capturing and Inferring Dense Full-Body Human-Scene Contact
Chun-Hao P. Huang, Hongwei Yi, Markus Höschle +5
Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object interaction (HOI) and recons…
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
Vasileios Choutas, Lea Muller, Chun-Hao P. Huang +3
While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for…
Human-Aware Object Placement for Visual Environment Reconstruction
Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas +5
Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of information for understanding 3D humans, 3D scenes, an…
SPEC: Seeing People in the Wild with an Estimated Camera
Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch +3
Due to the lack of camera parameter information for in-the-wild images, existing 3D human pose and shape (HPS) estimation methods make several simplifying assumptions: weak-perspec…
AGORA: Avatars in Geography Optimized for Regression Analysis
Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch +3
While the accuracy of 3D human pose estimation from images has steadily improved on benchmark datasets, the best methods still fail in many real-world scenarios. This suggests that…
On Self-Contact and Human Pose
Lea Müller, Ahmed A. A. Osman, Siyu Tang +2
People touch their face 23 times an hour, they cross their arms and legs, put their hands on their hips, etc. While many images of people contain some form of self-contact, current…
PARE: Part Attention Regressor for 3D Human Body Estimation
Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges +1
Despite significant progress, we show that state of the art 3D human pose and shape estimation methods remain sensitive to partial occlusion and can produce dramatically wrong pred…