activity
20202023
most citedDreamHuman: Animatable 3D Avatars from Text

22 citations · 34 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202322 cited

DreamHuman: Animatable 3D Avatars from Text

Nikos Kolotouros, Thiemo Alldieck, Andrei Zanfir +3

We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides i…

cs.CV20229 cited

HSPACE: Synthetic Parametric Humans Animated in Complex Environments

Eduard Gabriel Bazavan, Andrei Zanfir, Mihai Zanfir +3

Advances in the state of the art for 3d human sensing are currently limited by the lack of visual datasets with 3d ground truth, including multiple people, in motion, operating in…

cs.CV20213 cited

On-device Real-time Hand Gesture Recognition

George Sung, Kanstantsin Sokal, Esha Uboweja +5

We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two part…

cs.CV2021

THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers

Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan +3

We present THUNDR, a transformer-based deep neural network methodology to reconstruct the 3d pose and shape of people, given monocular RGB images. Key to our methodology is an inte…

cs.CV2020

Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows

Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu +3

Monocular 3D human pose and shape estimation is challenging due to the many degrees of freedom of the human body and thedifficulty to acquire training data for large-scale supervis…