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GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
European Conference on Computer VisionWe introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from sparse-view images in around 0.1s. GRM is a feed-forward transformer-based model that efficiently incorporates multi-view information to translate the input pixels into ...
Yinghao Xu +7 more
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3D Reconstruction with Spatial Memory
International Conference on 3D VisionWe present Spann3R, a novel approach for dense 3D reconstruction from ordered or unordered image collections. Built on the DUSt3R paradigm, Spann3R uses a transformer-based architecture to directly regress pointmaps from images without any prior ...
Hengyi Wang, Lourdes Agapito
semanticscholar +1 more source
2021
This chapter outlines the fundamentals of several image reconstruction approaches currently in use in X-ray tomography at synchrotron radiation facilities and at industrial X-ray CT scanners, clarifying both their proper use and points of caution in image reconstruction.
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This chapter outlines the fundamentals of several image reconstruction approaches currently in use in X-ray tomography at synchrotron radiation facilities and at industrial X-ray CT scanners, clarifying both their proper use and points of caution in image reconstruction.
openaire +1 more source
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Computer Vision and Pattern RecognitionWe present a real-time monocular dense SLAM system designed bottom-up from MASt3R, a two-view 3D reconstruction and matching prior. Equipped with this strong prior, our system is robust on in-the-wild video sequences despite making no assumption on a ...
Riku Murai +2 more
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latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
European Conference on Computer VisionWe present latentSplat, a method to predict semantic Gaussians in a 3D latent space that can be splatted and decoded by a light-weight generative 2D architecture.
Christopher Wewer +4 more
semanticscholar +1 more source
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
IEEE Transactions on Pattern Analysis and Machine IntelligenceWe tackle the challenge of efficiently reconstructing a 3D asset from a single image at millisecond speed. In this work, we introduce Gamba, an end-to-end 3D reconstruction model from a single-view image, emphasizing two main insights: (1) Efficient ...
Qiuhong Shen +6 more
semanticscholar +1 more source
2021
Three-dimensional (3D) printing is an emerging technology used in numerous fields of orthopedics and traumatology. There are at least three possible applications of this technology in musculoskeletal oncology: anatomical models, surgical tools and jigs, and implantable prostheses to reconstruct large bone defects.
Angelini, Andrea +3 more
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Three-dimensional (3D) printing is an emerging technology used in numerous fields of orthopedics and traumatology. There are at least three possible applications of this technology in musculoskeletal oncology: anatomical models, surgical tools and jigs, and implantable prostheses to reconstruct large bone defects.
Angelini, Andrea +3 more
openaire +2 more sources
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
European Conference on Computer VisionWe propose GS-LRM, a scalable large reconstruction model that can predict high-quality 3D Gaussian primitives from 2-4 posed sparse images in 0.23 seconds on single A100 GPU.
Kai Zhang +6 more
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TripoSR: Fast 3D Object Reconstruction from a Single Image
arXiv.orgThis 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.
Dmitry Tochilkin +9 more
semanticscholar +1 more source