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Multimodal computational modeling of EEG and artistic painting for exploring the stress-relief mechanism of urban green spaces. [PDF]

Front Psychol
Bei T.
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Neural scene graph rendering

ACM Transactions on Graphics, 2021
We present a neural scene graph---a modular and controllable representation of scenes with elements that are learned from data. We focus on the forward rendering problem, where the scene graph is provided by the user and references learned elements. The elements correspond to geometry and material definitions of scene objects and constitute the leaves ...
Jonathan Granskog, Till N. Schnabel, Fabrice Rousselle, Jan Novák   +3 more
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Neural scene representation and rendering

Science, 2018
A scene-internalizing computer program To train a computer to “recognize” elements of a scene supplied by its visual sensors, computer scientists typically use millions of images painstakingly labeled by humans. Eslami et al. developed an artificial vision system, dubbed the Generative Query Network (GQN),
S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David P. Reichert, Lars Buesing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra, Koray Kavukcuoglu, Demis Hassabis   +21 more
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Scalable neural indoor scene rendering

ACM Transactions on Graphics, 2022
We propose a scalable neural scene reconstruction and rendering method to support distributed training and interactive rendering of large indoor scenes. Our representation is based on tiles. Tile appearances are trained in parallel through a background sampling strategy that augments each tile with distant scene ...
Xiuchao Wu, Jiamin Xu, Zihan Zhu, Hujun Bao, Qixing Huang, James Tompkin, Weiwei Xu   +6 more
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Multi-View Neural Human Rendering

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
We present an end-to-end Neural Human Renderer (NHR) for dynamic human captures under the multi-view setting. NHR adopts PointNet++ for feature extraction (FE) to enable robust 3D correspondence matching on low quality, dynamic 3D reconstructions. To render new views, we map 3D features onto the target camera as a 2D feature map and employ an anti ...
Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu   +3 more
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Neural Rendering for Game Character Auto-Creation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Many role-playing games feature character creation systems where players are allowed to edit the facial appearance of their in-game characters. This paper proposes a novel method to automatically create game characters based on a single face photo. We frame this "artistic creation" process under a self-supervised learning paradigm by leveraging the ...
Tianyang Shi, Zhengxia Zou, Zhenwei Shi, Yi Yuan   +3 more
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Neural-based Rendering and Application

Proceedings of the 29th ACM International Conference on Multimedia, 2021
Rendering plays an important role in many fields such as virtual reality and film, but the high dependence on computing sources and human experience hinders its application. With the development of deep learning, neural rendering has attracted much attention due to its impressive performance and efficiency than traditional rendering.
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