2 papers
cs.CV2024
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
Jona Ballé, Luca Versari, Emilien Dupont +2
Inspired by the success of generative image models, recent work on learned image compression increasingly focuses on better probabilistic models of the natural image distribution,…
eess.IV2023
C3: High-performance and low-complexity neural compression from a single image or video
Hyunjik Kim, Matthias Bauer, Lucas Theis +2
Most neural compression models are trained on large datasets of images or videos in order to generalize to unseen data. Such generalization typically requires large and expressive…