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08/16/2023
Painter: Teaching Auto-regressive Language Models to Draw Sketches
Large language models (LLMs) have made tremendous progress in natural la...
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06/30/2023
Look, Remember and Reason: Visual Reasoning with Grounded Rationales
Large language models have recently shown human level performance on a v...
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01/24/2023
Differentiable bit-rate estimation for neural-based video codec enhancement
Neural networks (NN) can improve standard video compression by pre- and ...
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01/20/2023
Optimized learned entropy coding parameters for practical neural-based image and video compression
Neural-based image and video codecs are significantly more power-efficie...
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08/08/2022
Boosting neural video codecs by exploiting hierarchical redundancy
In video compression, coding efficiency is improved by reusing pixels fr...
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07/18/2022
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices
Realizing the potential of neural video codecs on mobile devices is a bi...
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11/19/2021
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
We introduce a video compression algorithm based on instance-adaptive le...
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04/01/2021
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
Most of the existing deep learning based end-to-end video coding (DLEC) ...
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03/30/2021
Extending Neural P-frame Codecs for B-frame Coding
While most neural video codecs address P-frame coding (predicting each f...
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12/11/2020
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning
Rate-Distortion Optimized Quantization (RDOQ) has played an important ro...
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04/22/2020
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones
High-dynamic-range (HDR) photography involves fusing a bracket of images...
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04/20/2020
Adversarial Distortion for Learned Video Compression
In this paper, we present a novel adversarial lossy video compression mo...
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04/09/2020
