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Found 6 papers, 3 papers with code
BRICS: Bi-level feature Representation of Image CollectionS
Our key codes and feature grids are jointly trained continuously with well-defined gradient flows, leading to high usage rates of the feature grids and improved generative modeling compared to discrete Vector Quantization (VQ).
AvatarGen: A 3D Generative Model for Animatable Human Avatars
Specifically, we decompose the generative 3D human synthesis into pose-guided mapping and canonical representation with predefined human pose and shape, such that the canonical representation can be explicitly driven to different poses and shapes with the guidance of a 3D parametric human model SMPL.
AvatarGen: a 3D Generative Model for Animatable Human Avatars
Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications.
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system.
Diversity-Sensitive Conditional Generative Adversarial Networks
We propose a simple yet highly effective method that addresses the mode-collapse problem in the Conditional Generative Adversarial Network (cGAN).
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic layout.
