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Stylesync: High-fidelity generalized and personalized lip sync in style-based generator
Despite recent advances in syncing lip movements with any audio waves, current methods
still struggle to balance generation quality and the model's generalization ability. Previous …
still struggle to balance generation quality and the model's generalization ability. Previous …
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 …
Facecomposer: A unified model for versatile facial content creation
This work presents FaceComposer, a unified generative model that accomplishes a variety
of facial content creation tasks, including text-conditioned face synthesis, text-guided face …
of facial content creation tasks, including text-conditioned face synthesis, text-guided face …
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 …
Revisiting generalizability in deepfake detection: Improving metrics and stabilizing transfer
Abstract" Generalizability" is seen as the hallmark quality of a good deepfake detection
model. However, standard out-of-domain evaluation datasets are very similar in form to the …
model. However, standard out-of-domain evaluation datasets are very similar in form to the …
Gaia: Zero-shot talking avatar generation
Zero-shot talking avatar generation aims at synthesizing natural talking videos from speech
and a single portrait image. Previous methods have relied on domain-specific heuristics …
and a single portrait image. Previous methods have relied on domain-specific heuristics …
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation
Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …
movements, gestures, facial expressions, and postures. It is a form of communication that …
Expressive talking avatars
Stylized avatars are common virtual representations used in VR to support interaction and
communication between remote collaborators. However, explicit expressions are notoriously …
communication between remote collaborators. However, explicit expressions are notoriously …
Speech-driven 3d face animation with composite and regional facial movements
Speech-driven 3D face animation poses significant challenges due to the intricacy and
variability inherent in human facial movements. This paper emphasizes the importance of …
variability inherent in human facial movements. This paper emphasizes the importance of …