Results 11 to 20 of about 1,683,484 (294)

Advances in Neural Rendering [PDF]

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.
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang 0011, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik   +16 more
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HDR-VDP-2, LPIPS, DISTS, and SSIM for Evaluating Computer-Generated Renderings: A Systematic Review of Use and Perceptual Validation [PDF]

Journal of Imaging
This systematic review examined the use and perceptual validation of four full-reference image quality metrics—HDR-VDP-2, LPIPS, DISTS, and SSIM—in computer-generated and rendered imagery.
Matija Grašić, Andrija Bernik, Vladimir Cviljušac   +2 more
doaj   +2 more sources

Neural Scene De-rendering [PDF]

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We study the problem of holistic scene understanding. We would like to obtain a compact, expressive, and interpretable representation of scenes that encodes information such as the number of objects and their categories, poses, positions, etc. Such a representation would allow us to reason about and even reconstruct or manipulate elements of the scene.
Wu, Jiajun, Tenenbaum, Joshua B, Kohli, Pushmeet   +2 more
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Deferred Neural Rendering for View Extrapolation [PDF]

SIGGRAPH Asia 2020 Posters, 2020
Image-based rendering methods that support visually pleasing specular surface reflections require accurate surface geometry and a large number of input images. Recent advances in neural scene representations show excellent visual quality while requiring only imperfect mesh proxies or no surface-based proxies at all.
Tobias Bertel, Yusuke Tomoto, Srinivas Rao, Rodrigo Ortiz Cayon, Stefan Holzer, Christian Richardt   +5 more
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SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering

Frontiers in Neuroscience
Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency.
Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng   +11 more
doaj   +3 more sources

Tactile Neural De-rendering

CoRR
Tactile sensing has proven to be an invaluable tool for enhancing robotic perception, particularly in scenarios where visual data is limited or unavailable. However, traditional methods for pose estimation using tactile data often rely on intricate modeling of sensor mechanics or estimation of contact patches, which can be cumbersome and inherently ...
Jose A. Eyzaguirre, Miquel Oller, Nima Fazeli   +2 more
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Neural Lumigraph Rendering [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Project website: http://www.computationalimaging.org/publications/nlr/
Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein   +5 more
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Predicting specific gravity and viscosity of level-of-detail control in hybrid rendering application. [PDF]

, 2009
This paper presents the hybrid rendering-based Level-of-Detail (LOD) node which aims to simplify the volume visualization workload to improve the interactive rate of the hybrid rendering programming paradigm.
Xu, Zhijie, Holder, Marcus, Xu, Qian
core   +4 more sources

UniRender: Reconstructing 3D Surfaces from Aerial Images with a Unified Rendering Scheme

Remote Sensing, 2023
While recent advances in the field of neural rendering have shown impressive 3D reconstruction performance, it is still a challenge to accurately capture the appearance and geometry of a scene by using neural rendering, especially for remote sensing ...
Yiming Yan, Weikun Zhou, Nan Su, Chi Zhang   +3 more
doaj   +1 more source

Neural Font Rendering

CoRR, 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.
Daniel Anderson, Ariel Shamir, Ohad Fried   +2 more
openaire   +3 more sources