MoDE coordinates SQ fidelity experts and VQ perception experts via ESE and CEM modules to achieve superior fidelity-perception trade-offs in image compression over wide bitrate ranges.
The unreasonable effectiveness of deep features as a perceptual metric
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LiVeAction is a lightweight asymmetric neural codec using an FFT-inspired encoder and variance-based training that outperforms generative tokenizers in rate-distortion while supporting real-time use on resource-constrained sensors across modalities.
citing papers explorer
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Dual-Latent Collaborative Decoding for Fidelity-Perception Balanced Image Compression
MoDE coordinates SQ fidelity experts and VQ perception experts via ESE and CEM modules to achieve superior fidelity-perception trade-offs in image compression over wide bitrate ranges.
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LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
LiVeAction is a lightweight asymmetric neural codec using an FFT-inspired encoder and variance-based training that outperforms generative tokenizers in rate-distortion while supporting real-time use on resource-constrained sensors across modalities.