Recent advances in Neural Radiance Fields (NeRFs) have made it possible ...
We investigate how to generate multimodal image outputs, such as RGB, de...
Recent portrait relighting methods have achieved realistic results of
po...
3D-aware GANs offer new capabilities for creative content editing, such ...
Recent advances in neural radiance fields have enabled the high-fidelity...
3D-controllable portrait synthesis has significantly advanced, thanks to...
Volumetric neural rendering methods, such as neural radiance fields (NeR...
Appearance of dressed humans undergoes a complex geometric transformatio...
Volumetric neural rendering methods like NeRF generate high-quality view...
We present an algorithm for re-rendering a person from a single image un...
This paper presents a neural rendering method for controllable portrait ...
We present a single-image data-driven method to automatically relight im...
Generative adversarial networks (GANs), e.g., StyleGAN2, play a vital ro...
In zero-shot learning (ZSL), conditional generators have been widely use...
Recent advances in deep generative models have demonstrated impressive
r...
In this work we introduce Lifting Autoencoders, a generative 3D surface-...
Variational Auto-Encoders enforce their learned intermediate latent-spac...
In this work we introduce Deforming Autoencoders, a generative model for...
Several factors contribute to the appearance of an object in a visual sc...
Heterogeneous face recognition between color image and depth image is a ...