Results 11 to 20 of about 169,247 (258)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 For modeling the 3D world behind 2D images, which 3D representation is most appropriate? A polygon mesh is a promising candidate for its compactness and geometric properties. However, it is not straightforward to model a polygon mesh from 2D images using neural networks because the conversion from a mesh to an image, or rendering, involves a discrete ...
Kato, Hiroharu +2 more
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Complex-Motion NeRF: Joint Reconstruction and Pose Optimization With Motion and Depth Priors
IEEE Access, 2023 We present Complex-Motion Neural Radiance Fields (CM-NeRF), which is a method that leverages motion and depth priors to optimize neural 3D scene representations and complex 6-DoF camera motions jointly.
Hyunjin Kim +3 more
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Towards Single 2D Image-Level Self-Supervision for 3D Human Pose and Shape Estimation
Applied Sciences, 2021 Three-dimensional human pose and shape estimation is an important problem in the computer vision community, with numerous applications such as augmented reality, virtual reality, human computer interaction, and so on.
Junuk Cha +7 more
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PERF: Performant, Explicit Radiance Fields
Frontiers in Computer Science, 2022 We present a novel way of approaching image-based 3D reconstruction based on radiance fields. The problem of volumetric reconstruction is formulated as a non-linear least-squares problem and solved explicitly without the use of neural networks.
Sverker Rasmuson +2 more
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, 2022 Recent advances in deep learning techniques and applications have revolutionized artistic creation and manipulation in many domains (text, images, music); however, fonts have not yet been integrated with deep learning architectures in a manner that supports their multi-scale nature.
Anderson, Daniel +2 more
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Computer Graphics Forum, 2022 AbstractSynthesizing photo‐realistic images and videos is at the heart of computer graphics and has been the focus of decades of research. Traditionally, synthetic images of a scene are generated using rendering algorithms such as rasterization or ray tracing, which take specifically defined representations of geometry and material properties as input.
Tewari, A. +16 more
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Modeling the Biocatalytic Method of Lipid Extraction Using Artificial Neural Networks
Information, 2023 The paper presents the data on lipid fraction extraction from the raw fat of hibernating hunting animals. The processing of valuable raw materials must be maximized. For this purpose, various methods of rendering are used.
Anton V. Shafrai +2 more
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Unsupervised Neural Rendering for Image Hazing
IEEE Transactions on Image Processing, 2022 Image hazing aims to render a hazy image from a given clean one, which could be applied to a variety of practical applications such as gaming, filming, photographic filtering, and image dehazing. To generate plausible haze, we study two less-touched but challenging problems in hazy image rendering, namely, i) how to estimate the transmission map from a
Boyun Li +5 more
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Texture synthesis of ecological plant protection image based on convolution neural network
Frontiers in Plant Science, 2022 Texture synthesis technology is an important realistic rendering technology. Texture synthesis technology also has a good application prospect in image rendering and other fields. Convolutional neural network is a very popular technology in recent years.
Libing Hu, Fei Zhou, Xianjun Fu
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