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We present ZeroRF, a novel per-scene optimization method addressing the challenge of sparse view 360{\deg} reconstruction in neural field representations.
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Efficient geometry-aware 3D generative adversarial networks
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Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, and Hao Su · 2021
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Stereo radiance fields (srf): Learning view synthesis for sparse views of novel scenes, 2021
Julian Chibane, Aayush Bansal, Verica Lazova, and Gerard Pons-Moll · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
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Sharf: Shape-conditioned radiance fields from a single view, 2021
Konstantinos Rematas, Ricardo Martin-Brualla, and Vittorio Ferrari · 2021
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Grf: Learning a general radiance field for 3d representation and rendering, 2021
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Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T Barron, and Pratul P Srinivasan · 2022
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Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, and Lingjie Liu · 2022
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Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, and Han Hu · 2022
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Point-nerf: Point-based neural radiance fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann · 2022
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
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Volume rendering of neural implicit surfaces
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Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
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Learning from randomly initialized neural network features
Ehsan Amid, Rohan Anil, Wojciech Kotłowski, and Manfred K Warmuth · 2022
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2022
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K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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Transformers in medical imaging: A survey
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Zero123++: a single image to consistent multi-view diffusion base model
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, and Hao Su · 2023
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Sparf: Neural radiance fields from sparse and noisy poses
Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, and Federico Tombari · 2023
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Sparsenerf: Distilling depth ranking for few-shot novel view synthesis
Guangcong Wang, Zhaoxi Chen, Chen Change Loy, and Ziwei Liu · 2023
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Negative loss function value and gradient explosion , 2023
wangpanpass · 2023
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Xinyue Wei, Fanbo Xiang, Sai Bi, Anpei Chen, Kalyan Sunkavalli, Zexiang Xu, and Hao Su · 2023
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4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
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Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P. Srinivasan, Richard Szeliski, Jonathan T. Barron, and Ben Mildenhall · 2023
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