Search Results for author: Ang Cao

Found 11 papers, 8 papers with code

Lightplane: Highly-Scalable Components for Neural 3D Fields

1 code implementation30 Apr 2024 Ang Cao, Justin Johnson, Andrea Vedaldi, David Novotny

Contemporary 3D research, particularly in reconstruction and generation, heavily relies on 2D images for inputs or supervision.

3D Reconstruction

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion

no code implementations16 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.

DreamGaussian4D: Generative 4D Gaussian Splatting

1 code implementation28 Dec 2023 Jiawei Ren, Liang Pan, Jiaxiang Tang, Chi Zhang, Ang Cao, Gang Zeng, Ziwei Liu

Specifically, we propose an integral framework with two major modules: 1) Image-to-4D GS - we initially generate static GS with DreamGaussianHD, followed by HexPlane-based dynamic generation with Gaussian deformation; and 2) Video-to-Video Texture Refinement - we refine the generated UV-space texture maps and meanwhile enhance their temporal consistency by utilizing a pre-trained image-to-video diffusion model.

Video Generation

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth

no code implementations27 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.

Data Augmentation

HexPlane: A Fast Representation for Dynamic Scenes

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.

Novel View Synthesis

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

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.

Novel View Synthesis

Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization

1 code implementation23 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.

Generative Adversarial Network Image Compression +2

Inverting and Understanding Object Detectors

1 code implementation26 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.

Object object-detection +1

Unified Signal Compression Using Generative Adversarial Networks

2 code implementations8 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.

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