Add model card (#1)
Browse files- Add model card (b1d3a069659c3702b9462e93cea5164f7a5f20ac)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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---
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pipeline_tag: feature-extraction
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license: mit
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---
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# CODA: Repurposing Continuous VAEs for Discrete Tokenization
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This repository contains the CODA tokenizer, as introduced in [CODA: Repurposing Continuous VAEs for Discrete Tokenization](https://huggingface.co/papers/2503.17760).
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Project Page: https://lzy-tony.github.io/coda
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Code: https://github.com/LeapLabTHU/CODA
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## Highlights
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CODA addresses the challenges of training conventional VQ tokenizers by decoupling compression and discretization. Instead of training from scratch, CODA adapts off-the-shelf continuous VAEs into discrete tokenizers, leading to stable and efficient training with strong visual fidelity.
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