Whiteboat/MLIC-Train-100K
Abstract The latent representation in learned image compression encompasses channel-wise, local spatial, and global spatial correlations, which are essential for the entropy model to capture for conditional entropy minimization. Efficiently capturing these contexts within a single entropy model, especially in high-resolution image coding, presents a challenge due to the computational complexity of existing global context modules. To address this challenge, we propose the Linear… See the full description on the dataset page: https://huggingface.co/datasets/Whiteboat/MLIC-Train-100K.
| Author / organization | Whiteboat |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 26 September 2024 |
| Last updated at source | 13 May 2025 |
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