Add pipeline tag, link to paper and code
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by nielsr HF Staff - opened
README.md
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tags:
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---
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# CPR: COMBINING GLOBAL COMPOSING, LOCAL PERFORMING AND FULL-SEQUENCE REFINING IN PIANO RENDERING WITH CONTINUOUS AUTOREGRESSIVE MODELLING
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1. **Composer–Performer (CP)** takes prompt audio, prompt MIDI, and target MIDI,
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and renders **24 kHz mono audio**. The Composer is an autoregressive Qwen3
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Transformer; the Performer renders local Mel spectrograms with flow matching.
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```bash
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python infer_refiner.py --input /path/to/audio_24k.wav --output outputs/refined.wav
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```
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---
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tags:
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- audio
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- music-generation
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- midi-to-audio
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- audio-super-resolution
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pipeline_tag: audio-to-audio
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---
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# CPR: COMBINING GLOBAL COMPOSING, LOCAL PERFORMING AND FULL-SEQUENCE REFINING IN PIANO RENDERING WITH CONTINUOUS AUTOREGRESSIVE MODELLING
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This model is presented in the paper [CPR: Combining global composing, local performing and full-sequence refining in piano rendering with continuous autoregressive modelling](https://huggingface.co/papers/2609.18216).
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Code is available at [github.com/FEAfeatherTHER/CPR_official](https://github.com/FEAfeatherTHER/CPR_official).
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1. **Composer–Performer (CP)** takes prompt audio, prompt MIDI, and target MIDI,
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and renders **24 kHz mono audio**. The Composer is an autoregressive Qwen3
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Transformer; the Performer renders local Mel spectrograms with flow matching.
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```bash
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python infer_refiner.py --input /path/to/audio_24k.wav --output outputs/refined.wav
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```
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