9 datasets found

The dataset used in the paper for text-to-3D content creation, which consists of 3D assets generated from text prompts.

The dataset used in the paper for text-to-3D synthesis with Asynchronous Score Distillation (ASD).

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 text-to-3D generation, generated using pre-trained text-to-image diffusion models.

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

The dataset used in the paper for text-to-3D generation, consisting of 5,000 different prompts and 800,000 generated images.

The dataset used in the paper is a text-to-3D generation framework, named the LucidDreamer, to distill high-fidelity textures and shapes from pretrained 2D diffusion models.

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...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...