Search Results for author: Matthew Chan

Found 5 papers, 0 papers with code

Coherent 3D Portrait Video Reconstruction via Triplane Fusion

no code implementations1 May 2024 Shengze Wang, Xueting Li, Chao Liu, Matthew Chan, Michael Stengel, Josef Spjut, Henry Fuchs, Shalini De Mello, Koki Nagano

Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, potentially democratizing telepresence.

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

no code implementations4 Jan 2024 Alex Trevithick, Matthew Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

3D-aware Generative Adversarial Networks (GANs) have shown remarkable progress in learning to generate multi-view-consistent images and 3D geometries of scenes from collections of 2D images via neural volume rendering.

Neural Rendering Super-Resolution

Snapshot High Dynamic Range Imaging with a Polarization Camera

no code implementations16 Aug 2023 Mingyang Xie, Matthew Chan, Christopher Metzler

By placing a linear polarizer in front of the polarization camera, we are able to simultaneously capture four images with varied exposures, which are determined by the orientation of the polarizer.

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations

no code implementations24 Jul 2023 Yi Han, Matthew Chan, Eric Wengrowski, Zhuohuan Li, Nils Ole Tippenhauer, Mani Srivastava, Saman Zonouz, Luis Garcia

We demonstrate that the dynamic nature of EvilEye enables attackers to adapt adversarial examples across a variety of objects with a significantly higher ASR compared to state-of-the-art physical world attack frameworks.

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

no code implementations3 May 2023 Alex Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e. g., face portrait) in real-time.

Data Augmentation Novel View Synthesis

Cannot find the paper you are looking for? You can Submit a new open access paper.