8 datasets found

Text2Immersion: Generative Immersive Scene with 3D Gaussians

Text-conditioned human motion generation has experienced significant advancements with diffusion models trained on extensive motion capture data and corresponding textual...

The dataset used in the paper for training and testing the DreamWaltz framework for generating and animating complex 3D avatars from text guidance and parametric human body prior.

The ProlificDreamer dataset is a dataset of 3D models generated using the ProlificDreamer model.

Realistic 3D human generation from text prompts is a de-

The dataset used in the paper for 3D scene generation from text descriptions.

The dataset used in the TextMesh paper, containing 35 text prompts for 3D mesh generation.

The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...