no code implementations • 16 Apr 2024 • Cindy Le, Congrui Hetang, Chendi Lin, Ang Cao, Yihui He
We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes.
1 code implementation • 28 Dec 2023 • Jiawei Ren, Liang Pan, Jiaxiang Tang, Chi Zhang, Ang Cao, Gang Zeng, Ziwei Liu
Remarkable progress has been made in 4D content generation recently.
no code implementations • 27 Nov 2023 • Cindy Le, Congrui Hetang, Chendi Lin, Ang Cao, Yihui He
This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes.
1 code implementation • ICCV 2023 • Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
We present Text2Room, a method for generating room-scale textured 3D meshes from a given text prompt as input.
1 code implementation • CVPR 2023 • Ang Cao, Justin Johnson
HexPlane is a simple and effective solution for representing 4D volumes, and we hope they can broadly contribute to modeling spacetime for dynamic 3D scenes.
1 code implementation • CVPR 2022 • Ang Cao, Chris Rockwell, Justin Johnson
Novel view synthesis (NVS) is a challenging task requiring systems to generate photorealistic images of scenes from new viewpoints, where both quality and speed are important for applications.
1 code implementation • 23 Sep 2021 • Bowen Liu, Changwoo Lee, Ang Cao, Hun-Seok Kim
We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals.
1 code implementation • 26 Jun 2021 • Ang Cao, Justin Johnson
As a core problem in computer vision, the performance of object detection has improved drastically in the past few years.
2 code implementations • 8 Dec 2019 • Bowen Liu, Ang Cao, Hun-Seok Kim
We propose a unified compression framework that uses generative adversarial networks (GAN) to compress image and speech signals.