arXiv:2403.02151
공식 코드 · Papers with Code
TripoSR: Fast 3D Object Reconstruction from a Single Image
원문 초록
This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in under 0.5 seconds. Building upon the LRM network architecture, TripoSR integrates substantial improvements in data processing, model design, and training techniques. Evaluations on public datasets show that TripoSR exhibits superior performance, both quantitatively and qualitatively, compared to other open-source alternatives. Released under the MIT license, TripoSR is intended to empower researchers, developers, and creatives with the latest advancements in 3D generative AI.
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AutoPartGen: Autogressive 3D Part Generation and Discovery
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
HuSc3D: Human Sculpture dataset for 3D object reconstruction
토론
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