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cs.CV2026
Dual-Latent Collaborative Decoding for Fidelity-Perception Balanced Image Compression
Qi Mao, Zijian Wang, Zhengxue Cheng +2
Learned image compression (LIC) increasingly requires reconstructions that balance distortion fidelity and perceptual realism across a wide range of bitrates. However, most existin…
cs.CV2018★ 3 cited
Deep Convolutional AutoEncoder-based Lossy Image Compression
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
Image compression has been investigated as a fundamental research topic for many decades. Recently, deep learning has achieved great success in many computer vision tasks, and is g…