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TextMesh: Realistic 3D Mesh Generation from Text Prompts

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Manage episode 501079981 series 3664002
Content provided by BB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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A novel method for generating realistic 3D meshes from text prompts, addressing limitations found in prior approaches. Traditional methods often produced Neural Radiance Fields (NeRFs), which are impractical for real-world applications and frequently resulted in oversaturated, cartoonish appearances. TextMesh proposes using a Signed Distance Function (SDF) backbone for improved mesh extraction and incorporates a multi-view consistent texture refinement process to achieve photorealistic results. This innovative two-stage approach ensures high-quality geometry and natural textures, making the generated 3D meshes directly usable in standard computer graphics pipelines for applications like Augmented Reality (AR) and Virtual Reality (VR).

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11 episodes

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Manage episode 501079981 series 3664002
Content provided by BB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BB or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

A novel method for generating realistic 3D meshes from text prompts, addressing limitations found in prior approaches. Traditional methods often produced Neural Radiance Fields (NeRFs), which are impractical for real-world applications and frequently resulted in oversaturated, cartoonish appearances. TextMesh proposes using a Signed Distance Function (SDF) backbone for improved mesh extraction and incorporates a multi-view consistent texture refinement process to achieve photorealistic results. This innovative two-stage approach ensures high-quality geometry and natural textures, making the generated 3D meshes directly usable in standard computer graphics pipelines for applications like Augmented Reality (AR) and Virtual Reality (VR).

  continue reading

11 episodes

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