State of the art on diffusion models for visual computing
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
EMO: Emote Portrait Alive Generating Expressive Portrait Videos with Audio2Video Diffusion Model Under Weak Conditions
In this work, we tackle the challenge of enhancing the realism and expressiveness in talking
head video generation by focusing on the dynamic and nuanced relationship between audio …
head video generation by focusing on the dynamic and nuanced relationship between audio …
Efficient region-aware neural radiance fields for high-fidelity talking portrait synthesis
This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based
architecture for talking portrait synthesis that can concurrently achieve fast convergence, real …
architecture for talking portrait synthesis that can concurrently achieve fast convergence, real …
Generative technology for human emotion recognition: A scoping review
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue
machines with the ability to comprehend and respond to human emotions. Central to this …
machines with the ability to comprehend and respond to human emotions. Central to this …
Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
Dae-talker: High fidelity speech-driven talking face generation with diffusion autoencoder
While recent research has made significant progress in speech-driven talking face
generation, the quality of the generated video still lags behind that of real recordings. One …
generation, the quality of the generated video still lags behind that of real recordings. One …
Diffusionavatars: Deferred diffusion for high-fidelity 3d head avatars
T Kirschstein, S Giebenhain… - Proceedings of the …, 2024 - openaccess.thecvf.com
DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person offering intuitive
control over both pose and expression. We propose a diffusion-based neural renderer that …
control over both pose and expression. We propose a diffusion-based neural renderer that …
Facetalk: Audio-driven motion diffusion for neural parametric head models
We introduce FaceTalk a novel generative approach designed for synthesizing high-fidelity
3D motion sequences of talking human heads from input audio signal. To capture the …
3D motion sequences of talking human heads from input audio signal. To capture the …
Dreamtalk: When expressive talking head generation meets diffusion probabilistic models
Diffusion models have shown remarkable success in a variety of downstream generative
tasks, yet remain under-explored in the important and challenging expressive talking head …
tasks, yet remain under-explored in the important and challenging expressive talking head …
Hallo: Hierarchical audio-driven visual synthesis for portrait image animation
The field of portrait image animation, driven by speech audio input, has experienced
significant advancements in the generation of realistic and dynamic portraits. This research …
significant advancements in the generation of realistic and dynamic portraits. This research …