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Meta published VertexRegen! a new method to generate 3D meshes:

Dreaming Tulpa 🥓👑

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37,065 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

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Today, we’re introducing Meta’s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:

Today, we’re introducing Meta’s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:

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Niels Rogge

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3D AI is moving so fast.. this image to 3D AI tool can now generate super detailed 3D meshes with high quality texture.. it’s crazyyy link in comment

3D AI is moving so fast.. this image to 3D AI tool can now generate super detailed 3D meshes with high quality texture.. it’s crazyyy link in comment

el.cine

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DreamCraft3D++ can generate animatable high-quality 3D assets from an image in 10 minutes! Yes, it supports meshes 🔥 Links ⬇️

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Dreaming Tulpa 🥓👑

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This is RICULOUSLY good, TRELLIS 3D Generation model by Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!

This is RICULOUSLY good, TRELLIS 3D Generation model by Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!

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Meta has abruptly pulled a new artificial intelligence feature that allowed users to generate images using public Instagram accounts following fierce backlash. Meta said it "missed the mark."

Meta has abruptly pulled a new artificial intelligence feature that allowed users to generate images using public Instagram accounts following fierce backlash. Meta said it "missed the mark."

CBS Evening News with Tony Dokoupil

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GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.

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🔬 A new method developed by Janelia researchers & collaborators uses a polarized dual-view light microscope & a new way to represent groups of oriented molecules to simultaneously image the location & orientation of biomolecules in 3D.

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Meta just dropped a new paper. "A Recipe for Generating 3D Worlds From a Single Image" Turn a single image into a high-quality 3D world ready for VR. 10 wild examples:

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there is a new gaussian splat method that can create high-quality 3D scenes from long videos without needing camera positions:

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3D scans usually begin as triangle meshes, which are great for capturing, viewing, and sharing real-world objects. For editing, animation, cleanup, or production workflows, quad-based topology can be much easier to work with. Our Quad-Mesh Retopology helps convert scan meshes into clean quad meshes, making your model easier to edit, optimize, and use across Blender, Maya, game engines, and other 3D workflows.

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