text-to-3d-human
2 papers with code • 1 benchmarks • 1 datasets
ASLLVD
Most implemented papers
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain
This paper presents an unsupervised domain adaptation (UDA) method for predicting unlabeled target domain data, specific to complex UDA tasks where the domain gap is significant.
TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis
Mathux/TMR
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ICCV 2023
We show that maintaining the motion generation loss, along with the contrastive training, is crucial to obtain good performance.
