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20212023
most citedHuman-Aware Object Placement for Visual Environment Reconstruction

5 citations · 9 across the 5 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023★ 1 cited

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…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2022

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…

cs.CV2022★ 5 cited

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…

cs.CV2021

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…