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20192023
most citedMeshDiffusion: Score-based Generative 3D Mesh Modeling

30 citations · 100 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 1 cited

Text-Guided Generation and Editing of Compositional 3D Avatars

Hao Zhang, Yao Feng, Peter Kulits +3

Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing…

cs.CV2023★ 13 cited

Learning Disentangled Avatars with Hybrid 3D Representations

Yao Feng, Weiyang Liu, Timo Bolkart +3

Tremendous efforts have been made to learn animatable and photorealistic human avatars. Towards this end, both explicit and implicit 3D representations are heavily studied for a ho…

cs.CV2023★ 21 cited

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Zeju Qiu, Weiyang Liu, Haiwen Feng +6

Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models t…

cs.CV2022

Capturing and Animation of Body and Clothing from Monocular Video

Yao Feng, Jinlong Yang, Marc Pollefeys +2

While recent work has shown progress on extracting clothed 3D human avatars from a single image, video, or a set of 3D scans, several limitations remain. Most methods use a holisti…

cs.CV2020★ 17 cited

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

Yao Feng, Haiwen Feng, Michael J. Black +1

While current monocular 3D face reconstruction methods can recover fine geometric details, they suffer several limitations. Some methods produce faces that cannot be realistically…