Due to the difficulty in scaling up, generative adversarial networks (GA...
The success of style-based generators largely benefits from style modula...
Deep neural networks achieve superior performance for learning from
inde...
Access to high-quality and diverse 3D articulated digital human assets i...
Despite the rapid advance of 3D-aware image synthesis, existing studies
...
Existing 3D-from-2D generators are typically designed for well-curated
s...
Generative models make huge progress to the photorealistic image synthes...
Recent years witness the tremendous success of generative adversarial
ne...
Existing 3D-aware image synthesis approaches mainly focus on generating ...
Video generation requires synthesizing consistent and persistent frames ...
Generative models, as an important family of statistical modeling, targe...
Discriminator plays a vital role in training generative adversarial netw...
Generating speech-consistent body and gesture movements is a long-standi...
Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...
Animating high-fidelity video portrait with speech audio is crucial for
...
Making generative models 3D-aware bridges the 2D image space and the 3D
...
Semi-supervised action recognition is a challenging but important task d...
The success of Generative Adversarial Networks (GANs) is largely built u...
This work aims at transferring a Generative Adversarial Network (GAN)
pr...
Implicit neural rendering techniques have shown promising results for no...
Convolutional Neural Networks (CNNs) have achieved remarkable success in...
Generative Adversarial Networks (GANs) have significantly advanced image...
Generative Adversarial Networks (GANs) have made great success in
synthe...
This paper addresses the challenge of novel view synthesis for a human
p...
Generative Adversarial Networks (GANs) have recently advanced image synt...
Recent attempts for unsupervised landmark learning leverage synthesized ...
Visual tempo, which describes how fast an action goes, has shown its
pot...
Visual tempo characterizes the dynamics and the temporal scale of an act...
We present an object representation, called Dense RepPoints, for
flexibl...
To reduce memory footprint and run-time latency, techniques such as neur...