2 citations · 2 across the 1 of their papers we have counts for
5 papers
Instant 3D Human Avatar Generation using Image Diffusion Models
Nikos Kolotouros, Thiemo Alldieck, Enric Corona +2
We present AvatarPopUp, a method for fast, high quality 3D human avatar generation from different input modalities, such as images and text prompts and with control over the genera…
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan +3
We propose VLOGGER, a method for audio-driven human video generation from a single input image of a person, which builds on the success of recent generative diffusion models. Our m…
SPHEAR: Spherical Head Registration for Complete Statistical 3D Modeling
Eduard Gabriel Bazavan, Andrei Zanfir, Thiemo Alldieck +3
We present \emph{SPHEAR}, an accurate, differentiable parametric statistical 3D human head model, enabled by a novel 3D registration method based on spherical embeddings. We shift…
Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction
Ivan Grishchenko, Geng Yan, Eduard Gabriel Bazavan +5
We present Blendshapes GHUM, an on-device ML pipeline that predicts 52 facial blendshape coefficients at 30+ FPS on modern mobile phones, from a single monocular RGB image and enab…
Learning Random Kernel Approximations for Object Recognition
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu
Approximations based on random Fourier features have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines. By expressing the k…