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We present a method for novel view synthesis from input images that are freely distributed around a scene.
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Flynn, J., Neulander, I., Philbin, J., Snavely, N.: DeepStereo: Learning to Predict New Views from the World’s Imagery. In: Computer Vision and Pattern Recognition (CVPR) (2016)
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Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., Sheikh, Y.: Neural Volumes: Learning Dynamic Renderable Volumes from Images. ACM Transactions on Graphics (SIGGRAPH) 38
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Mildenhall, B., Srinivasan, P.P., Ortiz-Cayon, R., Kalantari, N.K., Ramamoorthi, R., Ng, R., Kar, A.: Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. ACM Transactions on Graphics (SIGGRAPH) (2019)
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Niklaus, S., Mai, L., Yang, J., Liu, F.: 3D Ken Burns Effect from a Single Image. ACM Transactions on Graphics (SIGGRAPH Asia) 38
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Hedman, P., Ritschel, T., Drettakis, G., Brostow, G.: Scalable inside-out image-based rendering. ACM Transactions on Graphics (SIGGRAPH Asia) 35
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Kalantari, N.K., Wang, T.C., Ramamoorthi, R.: Learning-Based View Synthesis for Light Field Cameras. ACM Transactions on Graphics (SIGGRAPH) 35
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Schönberger, J.L., Zheng, E., Frahm, J.M., Pollefeys, M.: Pixelwise View Selection for Unstructured Multi-View Stereo. In: European Conference on Computer Vision (ECCV) (2016)
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Schönberger, J.L., Frahm, J.M.: Structure-from-Motion Revisited. In: Computer Vision and Pattern Recognition (CVPR) (2016)
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Chen, Q., Koltun, V.: Photographic Image Synthesis with Cascaded Refinement Networks. In: International Conference on Computer Vision (ICCV) (2017)
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Knapitsch, A., Park, J., Zhou, Q.Y., Koltun, V.: Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction. ACM Transactions on Graphics (SIGGRAPH) 36
2017
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Penner, E., Zhang, L.: Soft 3D Reconstruction for View Synthesis. ACM Transactions on Graphics (SIGGRAPH) 36
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Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et al.: PyTorch: An Imperative Style, High-Performance Deep Learning Library. In: Neural Information Processing Systems (2019)
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Sitzmann, V., Zollhöfer, M., Wetzstein, G.: Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In: Neural Information Processing Systems (2019)
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Srinivasan, P.P., Tucker, R., Barron, J.T., Ramamoorthi, R., Ng, R., Snavely, N.: Pushing the Boundaries of View Extrapolation with Multiplane Images. In: Computer Vision and Pattern Recognition (CVPR) (2019)
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Thies, J., Zollhöfer, M., Nießner, M.: Deferred Neural Rendering: Image Synthesis using Neural Textures. ACM Transactions on Graphics (SIGGRAPH) (2019)
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Xu, Z., Bi, S., Sunkavalli, K., Hadap, S., Su, H., Ramamoorthi, R.: Deep View Synthesis from Sparse Photometric Images. ACM Transactions on Graphics (SIGGRAPH) 38
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Yao, Y., Luo, Z., Li, S., Shen, T., Fang, T., Quan, L.: Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference. In: Computer Vision and Pattern Recognition (CVPR) (2019)
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Aliev, K.A., Sevastopolsky, A., Kolos, M., Ulyanov, D., Lempitsky, V.: Neural Point-Based Graphics. In: European Conference on Computer Vision (ECCV) (2020)
2020
Closest in time.
Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In: European Conference on Computer Vision (ECCV) (2020)
2020
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Niemeyer, M., Mescheder, L., Oechsle, M., Geiger, A.: Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. In: Computer Vision and Pattern Recognition (CVPR) (2020)
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Thies, J., Zollhöfer, M., Theobalt, C., Stamminger, M., Nießner, M.: Image-guided Neural Object Rendering. In: International Conference on Learning Representations (ICLR) (2020)
2020
Closest in time.
Wiles, O., Gkioxari, G., Szeliski, R., Johnson, J.: SynSin: End-to-end View Synthesis from a Single Image. In: Computer Vision and Pattern Recognition (CVPR) (2020)
2020
Closest in time.