no code implementations • 10 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.
3 code implementations • 2 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.
no code implementations • 20 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.