6 papers · 1 filter
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
Kostas Triaridis, Alexandros Graikos, Aggelina Chatziagapi +2
Hallucinations in diffusion models are samples with structural inconsistencies that can emerge due to the excessive smoothing of the learned score function, which in turn leads to…
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman +3
We introduce a novel method for low-rank personalization of a generic model for head avatar generation. Prior work proposes generic models that achieve high-quality face animation…
AV-Flow: Transforming Text to Audio-Visual Human-like Interactions
Aggelina Chatziagapi, Louis-Philippe Morency, Hongyu Gong +3
We introduce AV-Flow, an audio-visual generative model that animates photo-realistic 4D talking avatars given only text input. In contrast to prior work that assumes an existing sp…
TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans
Aggelina Chatziagapi, Bindita Chaudhuri, Amit Kumar +3
We introduce a novel framework that learns a dynamic neural radiance field (NeRF) for full-body talking humans from monocular videos. Prior work represents only the body pose or th…
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Dimitris Samaras
We introduce a novel method for joint expression and audio-guided talking face generation. Recent approaches either struggle to preserve the speaker identity or fail to produce fai…
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras
We introduce MIGS (Multi-Identity Gaussian Splatting), a novel method that learns a single neural representation for multiple identities, using only monocular videos. Recent 3D Gau…