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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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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 think loss mask m^p in paper is not implemented.
is it in todo list? or intended?
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## 🐛 Bug
I have a model that I have historically trained on 1080ti, and recently I discovered that the training speed is much worse (almost 2x slower) on 2080ti. The rest of the setup (nvidia drive…
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When I tried to train vq_vae, the program was stuck on line 52 of train_vq.py which is for log printing. And I added "print(1)" after line 52, the "1" cannot be printed. Can you help me with some advi…
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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
10 months ago
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[27.07.2023 12:17:50] jasiu-rozowyczlowiek
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Thank for Huge Projects
I have one question
BMLhandball doesn't have SMPL-X G...
only have SMPL+H G
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Do you have a minimal example of feeding the model with N frames and then reconstructing N + M frames or M frames only which however begin at the last frame of N? I would want to use it for next-frame…