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Deep learning for visual speech analysis: A survey
Visual speech, referring to the visual domain of speech, has attracted increasing attention
due to its wide applications, such as public security, medical treatment, military defense, and …
due to its wide applications, such as public security, medical treatment, military defense, and …
Audio-driven emotional video portraits
Despite previous success in generating audio-driven talking heads, most of the previous
studies focus on the correlation between speech content and the mouth shape. Facial …
studies focus on the correlation between speech content and the mouth shape. Facial …
Dexmv: Imitation learning for dexterous manipulation from human videos
While significant progress has been made on understanding hand-object interactions in
computer vision, it is still very challenging for robots to perform complex dexterous …
computer vision, it is still very challenging for robots to perform complex dexterous …
Controllable person image synthesis with attribute-decomposed gan
This paper introduces the Attribute-Decomposed GAN, a novel generative model for
controllable person image synthesis, which can produce realistic person images with …
controllable person image synthesis, which can produce realistic person images with …
Gan compression: Efficient architectures for interactive conditional gans
Abstract Conditional Generative Adversarial Networks (cGANs) have enabled controllable
image synthesis for many computer vision and graphics applications. However, recent …
image synthesis for many computer vision and graphics applications. However, recent …
Emmn: Emotional motion memory network for audio-driven emotional talking face generation
Synthesizing expression is essential to create realistic talking faces. Previous works
consider expressions and mouth shapes as a whole and predict them solely from audio …
consider expressions and mouth shapes as a whole and predict them solely from audio …
Dancing to music
Dancing to music is an instinctive move by humans. Learning to model the music-to-dance
generation process is, however, a challenging problem. It requires significant efforts to …
generation process is, however, a challenging problem. It requires significant efforts to …
Single motion diffusion
Synthesizing realistic animations of humans, animals, and even imaginary creatures, has
long been a goal for artists and computer graphics professionals. Compared to the imaging …
long been a goal for artists and computer graphics professionals. Compared to the imaging …
Skeleton-aware networks for deep motion retargeting
We introduce a novel deep learning framework for data-driven motion retargeting between
skeletons, which may have different structure, yet corresponding to homeomorphic graphs …
skeletons, which may have different structure, yet corresponding to homeomorphic graphs …
Unpaired motion style transfer from video to animation
Transferring the motion style from one animation clip to another, while preserving the motion
content of the latter, has been a long-standing problem in character animation. Most existing …
content of the latter, has been a long-standing problem in character animation. Most existing …