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[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg

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Hello, Can you please share some sample output video, especially for wav2lip comparison? Thanks

Hi, Can you release model weights for the deepfake detection task? Thanks

Here is what I get in response to running the training code: `C:\Users\AR\Desktop\marlin\MARLIN>python train.py --config config/pretrain/marlin_vit_base.yaml --data_dir C:\Users\AR\Desktop\marlin\MARLIN\trainingData\YouTubeFaces --n_gpus 1 --num_workers 8 --batch_size 16 --epochs 2000 --official_pretrained C:\Users\AR\Desktop\marlin\MARLIN\videomae\checkpoint_vitb.pth _IncompatibleKeys(missing_keys=['encoder.pos_embedding.emb', 'decoder.pos_embedding.emb',...

Thanks for your wonderful work. I wonder if using weight provided by Video-MAE directly for weight initialization will lead to unfair comparison of pre-training tasks?

Thank you for sharing this wonderful works! I found a simple lightning dependancy and epoch parameter in the _cosine_scheduler_fn(...) in Marlin>model>marlin.py cause me an error. Somehow the epoch parameter above...

Is there any official source for this integration ? I have query bit not sure this is the right forum. @i-am-shreya @ControlNet As in this part of the paper `Lip...

@i-am-shreya @ControlNet, Can you'll release the weights and scripts for the deepfake detection finetuning

Hi I want to know how to use pre trained models to test my own image dataset