Fetching the paper…
Reading the bibliography…
Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration.
“Structure-from-motion revisited,”
Johannes L. Schonberger and Jan-Michael Frahm, · 2016
Earlier work this paper cites.
“Deep learning on point clouds and its application: A survey,”
Weiping Liu, Jia Sun, Wanyi Li, Ting Hu, and Peng Wang, · 2019
Earlier work this paper cites.
“Deepsdf: Learning continuous signed distance functions for shape representation,”
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove, · 2019
Earlier work this paper cites.
“Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,”
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar, · 2019
Earlier work this paper cites.
“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
Earlier work this paper cites.
“Learning object-compositional neural radiance field for editable scene rendering,”
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui, · 2021
Earlier work this paper cites.
“Emerging properties in self-supervised vision transformers,”
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin, · 2021
Earlier work this paper cites.
“Surface remeshing: A systematic literature review of methods and research directions,”
Dawar Khan, Alexander Plopski, Yuichiro Fujimoto, Masayuki Kanbara, Gul Jabeen, Yongjie Jessica Zhang, Xiaopeng Zhang, and Hirokazu Kato, · 2022
Earlier work this paper cites.
“Decomposing nerf for editing via feature field distillation,”
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann, · 2022
Earlier work this paper cites.
“High-resolution image synthesis with latent diffusion models,”
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer, · 2022
Cited alongside, same era.
“DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images,”
Bing Wang, Lu Chen, and Bo Yang, · 2022
Cited alongside, same era.
“SegNeRF: 3D Part Segmentation with Neural Radiance Fields,”
Jesus Zarzar, Sara Rojas, Silvio Giancola, and Bernard Ghanem, · 2022
Cited alongside, same era.
“Eiseg: An efficient interactive segmentation tool based on paddlepaddle,”
Yuying Hao, Yi Liu, Yizhou Chen, Lin Han, Juncai Peng, Shiyu Tang, Guowei Chen, Zewu Wu, Zeyu Chen, and Baohua Lai, · 2022
Cited alongside, same era.
“Mip-nerf 360: Unbounded anti-aliased neural radiance fields,”
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman, · 2022
Cited alongside, same era.
“Interactive segmentation of radiance fields,”
Rahul Goel, Dhawal Sirikonda, Saurabh Saini, and P. J. Narayanan, · 2023
Closest in time.
“DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation,”
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng, · 2023
Closest in time.
“GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models,”
Taoran Yi, Jiemin Fang, Junjie Wang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang, · 2023
Closest in time.
“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
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“3D Gaussian Splatting for Real-Time Radiance Field Rendering,”
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis, · 2023
Cited alongside, same era.
“Gaussian Grouping: Segment and Edit Anything in 3D Scenes,”
Mingqiao Ye, Martin Danelljan, Fisher Yu, and Lei Ke, · 2023
Cited alongside, same era.
Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, and Qi Tian, · 2023
Cited alongside, same era.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick, · 2023
Closest in time.
Youtan Yin, Zhoujie Fu, Fan Yang, and Guosheng Lin, · 2023
Closest in time.
“Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields,”
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, and Alex Levinshtein, · 2023
Closest in time.
“Switch-neRF: Learning scene decomposition with mixture of experts for large-scale neural radiance fields,”
Zhenxing MI and Dan Xu, · 2023
Closest in time.