no code implementations • 10 Apr 2024 • Jaidev Shriram, Alex Trevithick, Lingjie Liu, Ravi Ramamoorthi
We introduce RealmDreamer, a technique for generation of general forward-facing 3D scenes from text descriptions.
no code implementations • 4 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.
no code implementations • 29 Jun 2023 • Kai-En Lin, Alex Trevithick, Keli Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi
In this work, our goal is to take as input a monocular video of a face, and create an editable dynamic portrait able to handle extreme head poses.
no code implementations • 3 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.
no code implementations • 20 Feb 2023 • Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
Novel view synthesis from a single image requires inferring occluded regions of objects and scenes whilst simultaneously maintaining semantic and physical consistency with the input.
1 code implementation • ICCV 2021 • Alex Trevithick, Bo Yang
We present a simple yet powerful neural network that implicitly represents and renders 3D objects and scenes only from 2D observations.
no code implementations • 28 Sep 2020 • Alex Trevithick, Bo Yang
The function models 3D scenes as a general radiance field, which takes a set of 2D images with camera poses and intrinsics as input, constructs an internal representation for each 3D point of the scene, and renders the corresponding appearance and geometry of any 3D point viewing from an arbitrary angle.