36 citations · 39 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
Daniel Severo, Lucas Theis, Johannes Ballé
We show how perceptual embeddings of the visual system can be constructed at inference-time with no training data or deep neural network features. Our perceptual embeddings are sol…
Wasserstein Distortion: Unifying Fidelity and Realism
Yang Qiu, Aaron B. Wagner, Johannes Ballé +1
We introduce a distortion measure for images, Wasserstein distortion, that simultaneously generalizes pixel-level fidelity on the one hand and realism or perceptual quality on the…