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Scene-Aware Foveated Neural Radiance Fields
IEEE Transactions on Visualization and Computer GraphicsFoveated rendering provides an idea for improving the image synthesis performance of neural radiance fields (NeRF) methods. In this paper, we propose a scene-aware foveated neural radiance fields method to synthesize high-quality foveated images in complex VR scenes at high frame rates. Firstly, we construct a multi-ellipsoidal neural representation to
Xuehuai, Lili Wang
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MS-NeRF: Multi-Space Neural Radiance Fields
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF) that represents the scene using a group of feature fields in parallel sub-spaces, which leads to a ...
Ze-Xin Yin +2 more
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Instant Neural Radiance Fields
Special Interest Group on Computer Graphics and Interactive Techniques Conference Real-Time Live!, 2022Thomas Müller +7 more
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Multimodal Neural Radiance Field
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023Haidong Zhu +7 more
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Multi-Space Neural Radiance Fields
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023Ze-Xin Yin +3 more
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A Survey on Neural Radiance Fields
ACM Computing SurveysView synthesis is a fundamental task in computer vision, known for its significantly higher complexity compared to conventional vision problems. The introduction of Neural Radiance Fields (NeRF) marked a major breakthrough in this field, substantially improving previous methods and pushing view synthesis to unprecedented levels.
Yun Liao +6 more
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SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields
ACM Transactions on Graphics, 2023Lin Gao, Feng-Lin Liu, Shu-Yu Chen
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