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As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-quality novel view synthesis from multi-view images.
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
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Stylizing 3D Scene via Implicit Representation and HyperNetwork. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 1475–1484
Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, and Wei-Chen Chiu. 2022 · 2022
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FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
Nianchen Deng, Zhenyi He, Jiannan Ye, Budmonde Duinkharjav, Praneeth Chakravarthula, Xubo Yang, and Qi Sun. 2022 · 2022
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AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars. In Proceedings of the ACM SIGGRAPH
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StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. In Computer Vision and Pattern Recognition (CVPR)
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Controllable Free Viewpoint Video Reconstruction Based on Neural Radiance Fields and Motion Graphs
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