Generalizable One-shot 3D Neural Head Avatar
We present a method that reconstructs and animates a 3D head avatar from a single-view
portrait image. Existing methods either involve time-consuming optimization for a specific …
portrait image. Existing methods either involve time-consuming optimization for a specific …
Geometry Transfer for Stylizing Radiance Fields
Shape and geometric patterns are essential in defining stylistic identity. However current 3D
style transfer methods predominantly focus on transferring colors and textures often …
style transfer methods predominantly focus on transferring colors and textures often …
Real-time 3D-aware portrait video relighting
Synthesizing realistic videos of talking faces under custom lighting conditions and viewing
angles benefits various downstream applications like video conferencing. However most …
angles benefits various downstream applications like video conferencing. However most …
Consensus-Agent Deep Reinforcement Learning for Face Aging
L Lin, H Liu, J Liang, Z Li, J Feng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Face aging tasks aim to simulate changes in the appearance of faces over time. However,
due to the lack of data on different ages under the same identity, existing models are …
due to the lack of data on different ages under the same identity, existing models are …
Garment3DGen: 3D Garment Stylization and Texture Generation
We introduce Garment3DGen a new method to synthesize 3D garment assets from a base
mesh given a single input image as guidance. Our proposed approach allows users to …
mesh given a single input image as guidance. Our proposed approach allows users to …
Bridging Formal Shape Models and Deep Learning: A Novel Fusion for Understanding 3D Objects
This article describes a novel fusion of a generative formal model for three-dimensional (3D)
shapes with deep learning (DL) methods to understand the geometric structure of 3D objects …
shapes with deep learning (DL) methods to understand the geometric structure of 3D objects …
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
Abstract 3D-aware GANs offer new capabilities for view synthesis while preserving the
editing functionalities of their 2D counterparts. GAN inversion is a crucial step that seeks the …
editing functionalities of their 2D counterparts. GAN inversion is a crucial step that seeks the …
Exploring Attribute Variations in Style-based GANs using Diffusion Models
Existing attribute editing methods treat semantic attributes as binary, resulting in a single edit
per attribute. However, attributes such as eyeglasses, smiles, or hairstyles exhibit a vast …
per attribute. However, attributes such as eyeglasses, smiles, or hairstyles exhibit a vast …
Advancing Neural Radiance Fields through Self-Supervised NeRF Image Selector (SNIS)
N Kim - 2024 - escholarship.org
Neural Radiance Fields (NeRF) have recently emerged as a promising research area due to
their remarkable photorealistic rendering capabilities and diverse applications. By training …
their remarkable photorealistic rendering capabilities and diverse applications. By training …