Search Results for author:
Found 9 papers, 3 papers with code
Nuvo: Neural UV Mapping for Unruly 3D Representations
We present a UV mapping method designed to operate on geometry produced by 3D reconstruction and generation techniques.
BlendFields: Few-Shot Example-Driven Facial Modeling
Generating faithful visualizations of human faces requires capturing both coarse and fine-level details of the face geometry and appearance.
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
The recent increase in popularity of volumetric representations for scene reconstruction and novel view synthesis has put renewed focus on animating volumetric content at high visual quality and in real-time.
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Recent work on Neural Radiance Fields (NeRF) showed how neural networks can be used to encode complex 3D environments that can be rendered photorealistically from novel viewpoints.
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
In contrast to computer graphics approaches, generative models learned from more readily available 2D image data have been shown to produce samples of human faces that are hard to distinguish from real data.
CONFIG: Controllable Neural Face Image Generation
Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind.
OpenEDS: Open Eye Dataset
We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing cameras at a frame rate of 200 Hz under controlled illumination.
Interpretable Transformations with Encoder-Decoder Networks
We propose a simple method to construct a deep feature space, with explicitly disentangled representations of several known transformations.
