Results 1 to 10 of about 13,916,515 (311)
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem [PDF]
International Conference on Learning Representations, 2022 Construction of a scaffold structure that supports a desired motif, conferring protein function, shows promise for the design of vaccines and enzymes. But a general solution to this motif-scaffolding problem remains open.
Brian L. Trippe +6 more
semanticscholar +1 more source
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond [PDF]
arXiv.org, 2023 Although text-to-image diffusion models have made significant strides in generating images from text, they are sometimes more inclined to generate images like the data on which the model was trained rather than the provided text.
Mohammadreza Armandpour +4 more
semanticscholar +1 more source
UNETR: Transformers for 3D Medical Image Segmentation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have shown prominence for the majority of medical image segmentation applications since the past decade. In FCNNs, the encoder plays an integral role by learning both global
Ali Hatamizadeh +3 more
semanticscholar +1 more source
DUSt3R: Geometric 3D Vision Made Easy [PDF]
Computer Vision and Pattern Recognition, 2023 Multi-view stereo reconstruction (MVS) in the wild re-quires to first estimate the camera intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain, yet they are mandatory to triangulate corresponding pixels in 3D space ...
Shuzhe Wang +4 more
semanticscholar +1 more source
Optimizing e-commerce warehousing through open dimension management in a three-dimensional bin packing system [PDF]
PeerJ Computer Science, 2023 In the field of e-commerce warehousing, maximizing the utilization of packing bins is a fundamental goal for all major logistics enterprises. However, determining the appropriate size of packing bins poses a practical challenge for many logistics ...
Jianglong Yang +6 more
doaj +2 more sources
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization [PDF]
Neural Information Processing Systems, 2023 Single image 3D reconstruction is an important but challenging task that requires extensive knowledge of our natural world. Many existing methods solve this problem by optimizing a neural radiance field under the guidance of 2D diffusion models but ...
Minghua Liu +6 more
semanticscholar +1 more source
Mip-Splatting: Alias-Free 3D Gaussian Splatting [PDF]
Computer Vision and Pattern Recognition, 2023 Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when changing the sampling rate, e.g., by changing focal length or camera distance.
Zehao Yu +4 more
semanticscholar +1 more source
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching [PDF]
Computer Vision and Pattern Recognition, 2023 The recent advancements in text-to-3D generation mark a significant milestone in generative models, unlocking new possibilities for creating imaginative 3D assets across var-ious real-world scenarios.
Yixun Liang +5 more
semanticscholar +1 more source
OpenMask3D: Open-Vocabulary 3D Instance Segmentation [PDF]
Neural Information Processing Systems, 2023 We introduce the task of open-vocabulary 3D instance segmentation. Current approaches for 3D instance segmentation can typically only recognize object categories from a pre-defined closed set of classes that are annotated in the training datasets.
Ayca Takmaz +5 more
semanticscholar +1 more source
3D geometric moment invariants from the point of view of the classical invariant theory
Математичні Студії, 2023 The aim of this paper is to clear up the problem of the connection between the 3D geometric moments invariants and the invariant theory, considering a problem of describing of the 3D geometric moments invariants as a problem of the classical invariant ...
L. P. Bedratyuk, A. I. Bedratyuk
doaj +1 more source