Search Results for author: Stephan J. Garbin

Found 9 papers, 3 papers with code

Nuvo: Neural UV Mapping for Unruly 3D Representations

no code implementations11 Dec 2023 Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall

We present a UV mapping method designed to operate on geometry produced by 3D reconstruction and generation techniques.

3D Reconstruction valid

BlendFields: Few-Shot Example-Driven Facial Modeling

no code implementations CVPR 2023 Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzciński, Marek Kowalski

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

no code implementations1 Aug 2022 Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin

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.

Novel View Synthesis

FastNeRF: High-Fidelity Neural Rendering at 200FPS

1 code implementation ICCV 2021 Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin

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.

Mixed Reality Neural Rendering +1

High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images

no code implementations ECCV 2020 Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton

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.

Domain Adaptation Vocal Bursts Intensity Prediction

CONFIG: Controllable Neural Face Image Generation

2 code implementations ECCV 2020 Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton

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.

Attribute Face Model +2

OpenEDS: Open Eye Dataset

no code implementations30 Apr 2019 Stephan J. Garbin, Yiru Shen, Immo Schuetz, Robert Cavin, Gregory Hughes, Sachin S. Talathi

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.

Semantic Segmentation

Interpretable Transformations with Encoder-Decoder Networks

no code implementations ICCV 2017 Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow

We propose a simple method to construct a deep feature space, with explicitly disentangled representations of several known transformations.

Decoder

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