most citedDreamHuman: Animatable 3D Avatars from Text

22 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

Score Distillation Sampling with Learned Manifold Corrective

Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu

Score Distillation Sampling (SDS) is a recent but already widely popular method that relies on an image diffusion model to control optimization problems using text prompts. In this…

cs.CV2023★ 22 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…