Comments (2)
Thank you for your interest in our work.
- Yes, we are using the LDM method for videos.
- In the base stage, we input the image (extracting CLIP features and latent represents separately) and combine it with noise to input into the 3D U-Net to get the output video.
- In practice, we treat the video as a whole during input and use a denoising and diffusion process. For the temporal encoding process, you can refer to the design of our 3D U-Net, Fig.3.
Thank you.
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Thanks for the reply,
2. Input to 3D Unet is 2D noise or 3D noise ?
3. So input to refinement stage pre-trained LDM is resized output of base stage LDM ? Because any LDM takes noise as input and denoises it to generate video if it takes resized video (non-noise) as input, how it is denoises when there is no noise ?
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Related Issues (20)
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