Comments (7)
Please refer directly to Tencent’s implementation: https://github.com/TencentARC/Open-MAGVIT2
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Why is magvitv2 different from the description in the paper? Am I understanding it wrong?
Hello, have you implemented it? I also noticed that it seems to be different from the content in the paper. So I would like to communicate with you.
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Yes. I implemented it described in the paper as much as possible. The effect looks normal
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Hello, I'm interested in how you implement the group norm in the MAGVIT-V2 paper. Did you directly apply group norm to a video tensor?
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Thanks~
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Please refer directly to Tencent’s implementation: https://github.com/TencentARC/Open-MAGVIT2
This implementation still seems to be large different from the original paper, and it only use a small model to train an image tokenizer. As you said you implemented it, how about the evaluation results? i.e. imagenet/ucf101 reconstruction? Is there any chance to communicate with you? @hefeicyp
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Related Issues (20)
- weights HOT 1
- Unsuccessful image reconstruction HOT 3
- expired discord invitation HOT 3
- pretrained weights
- Pixelated image reconstruction HOT 7
- ‘video_contains_first_frame’ in encoder HOT 1
- recon images is black HOT 9
- Question about casual 3d cnn HOT 1
- The configuration of training
- Is there anyone success to train this model? HOT 27
- Running multi-gpu training HOT 5
- About training steps and correctness. HOT 3
- Error while loading the states of optimizer in Trainer - def load(self, path)
- Is there any pretrained weights for debug? HOT 1
- About training speed.
- About GroupNorm described in the MAGVIT V2 paper HOT 2
- About the correctness HOT 1
- Is this a bug at magvit2_pytorch.py#L1340? HOT 1
- Maybe a small bug at magvit2_pytorch.py#L1236? HOT 1
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