AToM proposes a triplane-based text-to-mesh architecture with a two-stage amortized optimization training that ensures stable optimization and scalability. AToM ...

Feb 1, 2024 · We introduce Amortized Text-to-Mesh (AToM), a feed-forward text-to-mesh framework optimized across multiple text prompts simultaneously.

AToM: Amortized Text-to-Mesh using 2D Diffusion. The awesome website template is borrowed from DreamFusion: Text-to-3D using 2D Diffusion and Nerfies website.

We introduce Amortized Text-to-Mesh (AToM), a feed-forward text-to-mesh framework optimized across multiple text prompts simultaneously.

Feb 4, 2024 · Thanks for featuring AToM: Amortized Text-to-Mesh using 2D Diffusion. AToM generates mesh in less than a second and generalizes to unseen texts.

Feb 2, 2024 · Welcome to this sub, the subreddit dedicated to all things related to GenAI. This community is a place to share and discuss posts, updates, ...

AToM: Amortized Text-to-Mesh using 2D Diffusion. We introduce Amortized Text-to-Mesh (AToM), a feed-forward text-to-mesh framework optimized across multiple ...

Feb 1, 2024 · This paper introduces AToM, an amortized text-to-mesh model that generates high-quality textured meshes from text prompts in under 1 second, ...

Feb 3, 2024 · AToM is an advanced amortized text-to-mesh framework comprising of a text encoder, text-to-triplane network, and triplane-to-mesh generator.

Feb 2, 2024 · Snap presents AToM Amortized Text-to-Mesh using 2D Diffusion paper page: https://huggingface.co/papers/2402.00867… AToM directly generates ...