activity
20222024
most citedGroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations

30 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space

Armand Comas-Massagué, Di Qiu, Menglei Chai +9

We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are…

cs.GR202330 cited

GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations

Yuxiao Zhou, Menglei Chai, Alessandro Pepe +2

Despite recent successes in hair acquisition that fits a high-dimensional hair model to a specific input subject, generative hair models, which establish general embedding spaces f…

cs.CV20231 cited

Efficient 3D Articulated Human Generation with Layered Surface Volumes

Yinghao Xu, Wang Yifan, Alexander W. Bergman +3

Access to high-quality and diverse 3D articulated digital human assets is crucial in various applications, ranging from virtual reality to social platforms. Generative approaches,…

cs.CV2023

Invertible Neural Skinning

Yash Kant, Aliaksandr Siarohin, Riza Alp Guler +4

Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing methods suffer from the limited expressiveness of…

cs.CV2023

Unsupervised Volumetric Animation

Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov +5

We propose a novel approach for unsupervised 3D animation of non-rigid deformable objects. Our method learns the 3D structure and dynamics of objects solely from single-view RGB vi…

cs.CV20222 cited

Cross-Modal 3D Shape Generation and Manipulation

Zezhou Cheng, Menglei Chai, Jian Ren +5

Creating and editing the shape and color of 3D objects require tremendous human effort and expertise. Compared to direct manipulation in 3D interfaces, 2D interactions such as sket…