Search Results for author: Kyle Fogarty

Found 3 papers, 1 papers with code

SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs

no code implementations10 Jun 2024 Jing Yang, Kyle Fogarty, Fangcheng Zhong, Cengiz Oztireli

Despite the growing success of 3D-aware GANs, which can be trained on 2D images to generate high-quality 3D assets, they still rely on multi-view images with camera annotations to synthesize sufficient details from all viewing directions.

Text to 3D

An Information Theoretic Approach to Machine Unlearning

3 code implementations2 Feb 2024 Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup

To comply with AI and data regulations, the need to forget private or copyrighted information from trained machine learning models is increasingly important.

Machine Unlearning

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

no code implementations20 Nov 2023 Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli

We propose FrePolad: frequency-rectified point latent diffusion, a point cloud generation pipeline integrating a variational autoencoder (VAE) with a denoising diffusion probabilistic model (DDPM) for the latent distribution.

Computational Efficiency Denoising +1

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