19 citations · 40 across the 9 of their papers we have counts for
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eess.IV2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Ning Kang, Shanzhao Qiu, Shifeng Zhang +2
Generative model based image lossless compression algorithms have seen a great success in improving compression ratio. However, the throughput for most of them is less than 1 MB/s…
eess.IV2022
Split Hierarchical Variational Compression
Tom Ryder, Chen Zhang, Ning Kang +1
Variational autoencoders (VAEs) have witnessed great success in performing the compression of image datasets. This success, made possible by the bits-back coding framework, has pro…
eess.IV2022★ 3 cited
Parallel Neural Local Lossless Compression
Mingtian Zhang, James Townsend, Ning Kang +1
The recently proposed Neural Local Lossless Compression (NeLLoC), which is based on a local autoregressive model, has achieved state-of-the-art (SOTA) out-of-distribution (OOD) gen…