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3D reconstruction of typhoon Trami 2018 eye and eyewall clouds from airborne imaging. [PDF]
Sci RepAlgodon MR +3 more
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Ultrasound-based 3D Reconstruction of Residual Limbs
Alfred Franz, Pauline Heine, Luise Robra
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LRM: Large Reconstruction Model for Single Image to 3D
International Conference on Learning Representations, 2023We propose the first Large Reconstruction Model (LRM) that predicts the 3D model of an object from a single input image within just 5 seconds. In contrast to many previous methods that are trained on small-scale datasets such as ShapeNet in a category ...
Yicong Hong +9 more
semanticscholar +1 more source
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
International Conference on Learning Representations, 2023Text-to-3D with diffusion models has achieved remarkable progress in recent years. However, existing methods either rely on score distillation-based optimization which suffer from slow inference, low diversity and Janus problems, or are feed-forward ...
Jiahao Li +9 more
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Dense Semantic 3D Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain the solutions from being 'too noisy'. These priors generally yield overly smooth reconstructions and/or segmentations in certain regions while they fail to constrain the solution sufficiently in
Häne, Christian +3 more
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Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Computer Vision and Pattern RecognitionMulti-view 3D reconstruction remains a core challenge in computer vision, particularly in applications requiring accurate and scalable representations across diverse perspectives.
Jianing Yang +8 more
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MapAnything: Universal Feed-Forward Metric 3D Reconstruction
arXiv.orgWe introduce MapAnything, a unified transformer-based feed-forward model that ingests one or more images along with optional geometric inputs such as camera intrinsics, poses, depth, or partial reconstructions, and then directly regresses the metric 3D ...
N. Keetha +16 more
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MUSt3R: Multi-view Network for Stereo 3D Reconstruction
Computer Vision and Pattern RecognitionDUSt3R introduced a novel paradigm in geometric computer vision by proposing a model that can provide dense and unconstrained Stereo 3D Reconstruction of arbitrary image collections with no prior information about camera calibration nor viewpoint poses ...
Yohann Cabon +6 more
semanticscholar +1 more source
arXiv.org
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.
Jiale Xu +5 more
semanticscholar +1 more source
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.
Jiale Xu +5 more
semanticscholar +1 more source