923 citations · 2k across the 17 of their papers we have counts for
22 papers
Towards flexible perception with visual memory
Robert Geirhos, Priyank Jaini, Austin Stone +5
Training a neural network is a monolithic endeavor, akin to carving knowledge into stone: once the process is completed, editing the knowledge in a network is hard, since all infor…
High-Fidelity Image Compression with Score-based Generative Models
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer +3
Despite the tremendous success of diffusion generative models in text-to-image generation, replicating this success in the domain of image compression has proven difficult. In this…
Multi-Realism Image Compression with a Conditional Generator
Eirikur Agustsson, David Minnen, George Toderici +1
By optimizing the rate-distortion-realism trade-off, generative compression approaches produce detailed, realistic images, even at low bit rates, instead of the blurry reconstructi…
VCT: A Video Compression Transformer
Fabian Mentzer, George Toderici, David Minnen +4
We show how transformers can be used to vastly simplify neural video compression. Previous methods have been relying on an increasing number of architectural biases and priors, inc…
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Berivan Isik, Philip A. Chou, Sung Jin Hwang +2
We consider the attributes of a point cloud as samples of a vector-valued volumetric function at discrete positions. To compress the attributes given the positions, we compress the…
Neural Video Compression using GANs for Detail Synthesis and Propagation
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé +3
We present the first neural video compression method based on generative adversarial networks (GANs). Our approach significantly outperforms previous neural and non-neural video co…