1 citations · 1 across the 4 of their papers we have counts for
4 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…
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
Akash Sengupta, Thiemo Alldieck, Nikos Kolotouros +3
We present DiffHuman, a probabilistic method for photorealistic 3D human reconstruction from a single RGB image. Despite the ill-posed nature of this problem, most methods are dete…
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…
TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation
Nikolaos Vasilikopoulos, Nikos Kolotouros, Aggeliki Tsoli +1
Reconstructing 3D human pose and shape from monocular videos is a well-studied but challenging problem. Common challenges include occlusions, the inherent ambiguities in the 2D to…