Free-viewpoint image based rendering with multi-layered depth maps

Fehn, 2004, Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3d-tv, 5291, 93 Li, 2018, Hole filling with multiple reference views in DIBR view synthesis, IEEE Trans Multimedia, 20, 1948, 10.1109/TMM.2018.2791810 Mori, 2009, View generation with 3D warping using depth information for FTV, Signal Process Image Commun, 24, 65, 10.1016/j.image.2008.10.013 Chaurasia, 2013, Depth synthesis and local warps for plausible image-based navigation, ACM Transactions on Graphics (TOG), 32, 30, 10.1145/2487228.2487238 Lei, 2017, A divide-and-conquer hole-filling method for handling disocclusion in single-view rendering, Multimed Tools Appl, 76, 7661, 10.1007/s11042-016-3413-3 Dai, 2017, View synthesis with hierarchical clustering based occlusion filling, 1387 Liu, 2016, View synthesis with 3D object segmentation-based asynchronous blending and boundary misalignment rectification, Vis Comput, 32, 989, 10.1007/s00371-016-1228-x Zinger, 2010, Free-viewpoint depth image based rendering, J Vis Commun Image Represent, 21, 533, 10.1016/j.jvcir.2010.01.004 Shum, 2008 Zitnick, 2007, Stereo for image-based rendering using image over-segmentation, Int J Comput Vis, 75, 49, 10.1007/s11263-006-0018-8 Tereshin, 2020, Automatically controlled morphing of 2d shapes with textures, SIAM J Imaging Sci, 13, 78, 10.1137/19M1241581 Wang, 2019, Robust view synthesis in wide-baseline complex geometric environments, 2297 Buyssens, 2015, Superpixel-based depth map inpainting for RGB-D view synthesis, 4332 Ortiz-Cayon, 2015, A Bayesian approach for selective image-based rendering using superpixels, 469 Hedman, 2016, Scalable inside-out image-based rendering, ACM Transactions on Graphics (TOG), 35, 231, 10.1145/2980179.2982420 Penner, 2017, Soft 3d reconstruction for view synthesis, ACM Trans Graph, 36, 235:1, 10.1145/3130800.3130855 Flynn, 2016, Deepstereo: Learning to predict new views from the world’s imagery, 5515 Xia, 2018, Gibson env: Real-world perception for embodied agents, 9068 Mildenhall, 2019, Local light field fusion: practical view synthesis with prescriptive sampling guidelines, ACM Transactions on Graphics (TOG), 10.1145/3306346.3322980 Zhou, 2018, Stereo magnification: Learning view synthesis using multiplane images, 65:1 Srinivasan, 2017, Learning to synthesize a 4D RGBD light field from a single image, 2243 Flynn, 2019, Deepview: View synthesis with learned gradient descent, 2367 Ni, 2019, Unsupervised dense light field reconstruction with occlusion awareness, Comput Graph Forum, 38, 425, 10.1111/cgf.13849 Schmeing, 2015, Faithful disocclusion filling in depth image based rendering using superpixel-based inpainting, IEEE Trans Multimedia, 17, 2160, 10.1109/TMM.2015.2476372 Bertalmio, 2000, Image inpainting, 417 Solh, 2012, Hierarchical hole-filling for depth-based view synthesis in FTV and 3D video, IEEE J Sel Top Signal Process, 6, 495, 10.1109/JSTSP.2012.2204723 Chen, 2005, Efficient depth image based rendering with edge dependent depth filter and interpolation, 1314 Sinha, 2009, Piecewise planar stereo for image-based rendering, 1881 Goesele, 2010, Ambient point clouds for view interpolation, 29, 95 Bleyer, 2011, Patchmatch stereo-stereo matching with slanted support windows., 11, 1 Ma, 2013, Constant time weighted median filtering for stereo matching and beyond, 49 Arias-Castro, 2009, Does median filtering truly preserve edges better than linear filtering?, The Annals of Statistics, 37, 1172, 10.1214/08-AOS604 Zitnick, 2004, High-quality video view interpolation using a layered representation, ACM Trans Graph, 23, 600, 10.1145/1015706.1015766 Alhashim, 2018, High quality monocular depth estimation via transfer learning, arXiv preprint arXiv:181211941 Alhashim, 2018, High quality monocular depth estimation via transfer learning, CoRR, abs/1812.11941 Mildenhall, 2019, Local light field fusion: practical view synthesis with prescriptive sampling guidelines, ACM Transactions on Graphics (TOG), 38, 1, 10.1145/3306346.3322980 Mildenhall, 2020, Nerf: representing scenes as neural radiance fields for view synthesis, arXiv preprint arXiv:200308934 Software for view synthesis. Software for view synthesis. http://www.fujii.nuee.nagoya-u.ac.jp/multiview-data/mpeg2/VS.htm; 2020. Loghman, 2015, Segmentation-based view synthesis for multi-view video plus depth, Multimed Tools Appl, 74, 1611, 10.1007/s11042-013-1747-7 He, 2012, Guided image filtering, IEEE Trans Pattern Anal Mach Intell, 35, 1397, 10.1109/TPAMI.2012.213 Yuan, 2021, Presim: a 3d photo-realistic environment simulator for visual AI, IEEE Robotics Autom Lett, 6, 2501, 10.1109/LRA.2021.3061994