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Found 4 papers, 0 papers with code
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model
In this paper, we propose an effective two-stage approach named Grounded-Dreamer to generate 3D assets that can accurately follow complex, compositional text prompts while achieving high fidelity by using a pre-trained multi-view diffusion model.
A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D
However, the SDS method is also the source of several artifacts, such as the Janus problem, the misalignment between the text prompt and the generated 3D model, and 3D model inaccuracies.
Towards Visual Foundational Models of Physical Scenes
We describe a first step towards learning general-purpose visual representations of physical scenes using only image prediction as a training criterion.
Searching for Apparel Products from Images in the Wild
In particular, Instagram and Twitter influencers often provide images of themselves wearing different outfits and their followers are often inspired to buy similar clothes. We propose a system to automatically find the closest visually similar clothes in the online Catalog (street-to-shop searching).
