the motion mapping model

evaluation dataset for motion generated and caption

the loss calculator for the motion mapping model

the loss recorder for tensorboard initialize: loss_recoder = LossRecorder(writer)

the motion clip model for the motion generate task.

the text is strong because the text is a sentence this time.

Dataset for text to motion

combine the motion dataset together

combine the motion dataset together

cross condictional transformer base with latent feature as input.

evaluation dataset for mm motion generated with the same caption

evaluation dataset for mm motion generated with the same caption

the configuration of smal model.

the transformer encoder for semantic head

the transformer encoder for semantic head

the transformer model for text to latent of vqvae

the text is strong because the text is a sentence this time.

Dataset for text to motion

the transformer decoder

the scheduler for the lambda weights

the loss calculator for the motion mapping model

the loss calculator for the motion mapping model

the loss calculator for the motion mapping model

the loss recorder for tensorboard initialize: loss_recoder = LossRecorder(writer)

a network that maps motion to CLIP space

the motion mapping model

Absolute pos embedding (standard), learned.

the text is weak because the text is only a very short file name.

the text is weak because the text is only a very short file name.