Resources
- Image compression literature overview
- CVPR 2018 Workshop on learned image compression website and papers
- GANs for extreme compression (paper) -- Good news: GitHub Repository
- Joint Autoregressive and Hierarchical Priors for Learned Image Compression (paper, possible SOTA?)
- Conditional Probability Models for Deep Image Compression (paper and code, looks good)
- Video Compression through Image Interpolation (paper and code)
- Full Resolution Image Compression with Recurrent Neural Networks (paper)
- Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations (paper)
- End-to-end Optimized Image Compression (paper)
- Lossy Image Compression with Compressive Autoencoders (paper)
- Generative Compression (paper)
- Real-Time Adaptive Image Compression (paper)
- Variable Rate Image Compression with Recurrent Neural Networks (paper)
Domain-Specific Papers
- Compressing medical semantic segmentation image data (paper, by Hanspeter Pfister here at Harvard)
- NYU depth dataset project page
- Domain-specific video work by NVidia paper
RGB-D Datasets:
Bonus Material:
- ADE20K Link