Squeeze3D: Extreme Neural Compression with Latent Space Bridging
Squeeze3D is a novel framework that leverages implicit prior knowledge learnt by existing pre-trained encoders and decoders to compress 3D data at extremely high compression ratios and can flexibly support different formats, including meshes, point clouds, and radiance fields.
Rishit Dagli, Yu-Shi Guan, Sankeerth Durvasula et al.
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