Results 21 to 30 of about 1,683,484 (294)
Hybridizing Expressive Rendering: Stroke-Based Rendering With Classic and Neural Methods
IEEE Computer Graphics and ApplicationsNon-Photorealistic Rendering (NPR) has long been used to create artistic visualizations that prioritize style over realism, enabling the depiction of a wide range of aesthetic effects, from hand-drawn sketches to painterly renderings. While classical NPR methods, such as edge detection, toon shading, and geometric abstraction, have been well ...
Kapil, Dev +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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A Hybrid Rendering Framework for the Real-time Manipulation of Volume and Surface Models [PDF]
, 2009 Stemmed from classical computer graphics research, volume visualization has been steadily growing into an important research field in the last 2 decades. This paper presents a hybrid rendering framework which integrates volume and surface models for real-
Xu, Zhijie, Xu, Qian
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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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State of the Art on Neural Rendering [PDF]
Computer Graphics Forum, 2020 AbstractEfficient rendering of photo‐realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic images from hand‐crafted scene representations. However, the automatic generation of shape, materials, lighting, and other aspects of scenes remains a challenging problem
Ayush Tewari +18 more
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Mathematics, 2023 In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their ...
Jisun Park, Kyungeun Cho
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Agronomy, 2023 The application of 3D digital models to high-throughput plant phenotypic analysis is a research hotspot nowadays. Traditional methods, such as manual measurement and laser scanning, have high costs, and multi-view, unsupervised reconstruction methods are
Hui Liu +6 more
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CoRR, 2020 We propose a framework for learning neural scene representations directly from images, without 3D supervision. Our key insight is that 3D structure can be imposed by ensuring that the learned representation transforms like a real 3D scene. Specifically, we introduce a loss which enforces equivariance of the scene representation with respect to 3D ...
Emilien Dupont +6 more
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SyntheticFur dataset for neural rendering
CoRR, 2021 We introduce a new dataset called SyntheticFur built specifically for machine learning training. The dataset consists of ray traced synthetic fur renders with corresponding rasterized input buffers and simulation data files. We procedurally generated approximately 140,000 images and 15 simulations with Houdini.
Trung Le 0006 +4 more
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