Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, United States ...
Abstract: We present DIRECT-3D, a diffusion-based 3D generative model for creating high-quality 3D assets (represented by Neural Radiance Fields) from text prompts. Unlike recent 3D generative models ...
Abstract: Recent works on text-to-3d generation show that using only 2D diffusion supervision for 3D generation tends to produce results with inconsistent appearances (e.g., faces on the back view) ...
The browser_waitFor action currently only supports waiting for text to appear. This is limiting in scenarios where we need to wait for: Specific elements (e.g., buttons, inputs, containers) to be ...
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