data compression

by Synced 2022-06-27 2

Google’s Novel Lossy Compression Method Targets Perfect Realism with Only a Single Diffusion Model

In the new paper Lossy Compression with Gaussian Diffusion, a Google Research team presents DiffC, a novel and simple lossy compression method that relies only on an unconditionally trained diffusion generative model and achieves state-of-the-art image compression results despite lacking an encoder transform.

by Synced 2022-05-24 0

AI Machine Learning & Data Science Research

DeepMind’s Meta-Learning Sparse Compression Networks Set New SOTA on Diverse Modality Data Compression

In the new paper Meta-Learning Sparse Compression Networks, a DeepMind research team proposes steps for scaling implicit neural representations (INRs). The resulting meta-learning sparse compression networks can represent diverse data modalities such as images, manifolds, signed distance functions, 3D shapes, and scenes, achieving state-of-the-art results on some of them.