438 citations · 979 across the 11 of their papers we have counts for
13 papers
What Matters in Practical Learned Image Compression
Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun +5
One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human v…
Drop-In Perceptual Optimization for 3D Gaussian Splatting
Ezgi Ozyilkan, Zhiqi Chen, Oren Rippel +2
Despite their output being ultimately consumed by human viewers, 3D Gaussian Splatting (3DGS) methods often rely on ad-hoc combinations of pixel-level losses, resulting in blurry r…
PIM: Video Coding using Perceptual Importance Maps
Evgenya Pergament, Pulkit Tandon, Oren Rippel +6
Human perception is at the core of lossy video compression, with numerous approaches developed for perceptual quality assessment and improvement over the past two decades. In the d…
An Interactive Annotation Tool for Perceptual Video Compression
Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi +6
Human perception is at the core of lossy video compression and yet, it is challenging to collect data that is sufficiently dense to drive compression. In perceptual quality assessm…
ELF-VC: Efficient Learned Flexible-Rate Video Coding
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi +3
While learned video codecs have demonstrated great promise, they have yet to achieve sufficient efficiency for practical deployment. In this work, we propose several novel ideas fo…
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew +3
We present a new algorithm for video coding, learned end-to-end for the low-latency mode. In this setting, our approach outperforms all existing video codecs across nearly the enti…