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In paper it says "VQ-VAEs assume a uniform prior over the discrete latents 𝑧. However, GFlowNet-EM enables us to also learn a prior distribution, 𝑝 𝜃 (𝑧), jointly with the decoder 𝑝 𝜃 (𝑥|𝑧)." in secti…
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Hi, could you provide the opt.txt file for training VQ-VAE on KIT dataset? I am trying to reproduce the performance of the VQ reconstruction of T2M-GPT.
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I attempted to train a model using the IITB-corridor dataset following a similar approach used for the Avenue dataset. However, the training results are suboptimal, achieving only around 61-62% accura…
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I think loss mask m^p in paper is not implemented.
is it in todo list? or intended?
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## Keyword: detection
### RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage
- **Authors:** Authors: Nestor Hernandez, Ruben Recabarren, Bogdan Carbunar, Syed Ishti…
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Abstract:
We propose to replace vector quantization (VQ) in the latent representation of VQ-VAEs with a simple scheme termed finite scalar quantization (FSQ), where we project the VAE representatio…
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with the samples from the aws neuron team, the VAE `post_quant_conv` is compiled: https://github.com/aws-neuron/aws-neuron-samples/blob/master/torch-neuronx/inference/hf_pretrained_sdxl_base_1024_infe…
neo updated
11 months ago
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Hi, thank you so much for making this project! Also been loving your papers on it. This has been all great progress on stuff I was hoping would happen. I'm also a Stanford grad and focused on AI durin…
pgarz updated
10 months ago
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Thank for Huge Projects
I have one question
BMLhandball doesn't have SMPL-X G...
only have SMPL+H G