Release of LRS2, LRS3, LRW filelists
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# Evaluation of Lip-sync using LSE-D and LSE-C metric.
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# Novel Evaluation Framework, new filelists, and using the LSE-D and LSE-C metric.
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We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
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Our paper also proposes a novel evaluation framework (Section 4). To evaluate on LRS2, LRS3, and LRW, the filelists are present in the `test_filelists` folder. Please use `gen_videos_from_filelist.py` script to generate the videos. After that, you can calculate the LSE-D and LSE-C scores using the instructions below.
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The videos of the ReSyncED benchmark for real-world evaluation will be released soon.
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### Steps to set-up the evaluation repository for LSE-D and LSE-C metric:
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### Steps to set-up the evaluation repository for LSE-D and LSE-C metric:
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We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
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* Clone the SyncNet repository.
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* Clone the SyncNet repository.
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```
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```
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git clone https://github.com/joonson/syncnet_python.git
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git clone https://github.com/joonson/syncnet_python.git
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