Cool-chic 5.0 achieves 11% BD-rate savings over VVC with a decoder 250× less complex than modern autoencoders and 10× fewer encoding iterations than previous overfitted codecs.
LotteryCodec: Searching the implicit representation in a random network for low-complexity image compression
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
NeRC³ applies implicit neural representations with two MLPs to compress static and dynamic point clouds, claiming better rate-distortion than G-PCC/V-PCC standards.
citing papers explorer
-
Cool-chic 5.0: Faster Encoding and Inter-Feature Entropy Modeling for Overfitted Image Compression
Cool-chic 5.0 achieves 11% BD-rate savings over VVC with a decoder 250× less complex than modern autoencoders and 10× fewer encoding iterations than previous overfitted codecs.
-
Implicit Neural Compression of Point Clouds
NeRC³ applies implicit neural representations with two MLPs to compress static and dynamic point clouds, claiming better rate-distortion than G-PCC/V-PCC standards.