Fetching the paper…
Reading the bibliography…
We propose GGS, a Generalizable Gaussian Splatting method for Autonomous Driving which can achieve realistic rendering under large viewpoint changes.
Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
Earlier work this paper cites.
Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2013 · 2013
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J.; Weiss, E.; Maheswaranathan, N.; and Ganguli, S. 2015 · 2015
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Earlier work this paper cites.
Agisoft: Metashape software
2019 · 2019
Earlier work this paper cites.
Brno urban dataset-the new data for self-driving agents and mapping tasks
Ligocki, A.; Jelinek, A.; and Zalud, L. 2020 · 2020
Earlier work this paper cites.
Surfelgan: Synthesizing realistic sensor data for autonomous driving
Yang, Z.; Chai, Y.; Anguelov, D.; Zhou, Y.; Sun, P.; Erhan, D.; Rafferty, S.; and Kretzschmar, H. 2020 · 2020
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Mildenhall, B.; Srinivasan, P. P.; Tancik, M.; Barron, J. T.; Ramamoorthi, R.; and Ng, R. 2021 · 2021
Earlier work this paper cites.
Improved denoising diffusion probabilistic models
Nichol, A. Q.; and Dhariwal, P. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
Earlier work this paper cites.
pixelnerf: Neural radiance fields from one or few images
Yu, A.; Ye, V.; Tancik, M.; and Kanazawa, A. 2021 · 2021
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
Adop: Approximate differentiable one-pixel point rendering
Rückert, D.; Franke, L.; and Stamminger, M. 2022 · 2022
Cited alongside, same era.
UC-NeRF: Neural Radiance Field for Under-Calibrated multi-view cameras in autonomous driving
Cheng, K.; Long, X.; Yin, W.; Wang, J.; Wu, Z.; Ma, Y.; Wang, K.; Chen, X.; and Chen, X. 2023 · 2023
Cited alongside, same era.
Neural lidar fields for novel view synthesis
Huang, S.; Gojcic, Z.; Wang, Z.; Williams, F.; Kasten, Y.; Fidler, S.; Schindler, K.; and Litany, O. 2023 · 2023
Cited alongside, same era.
Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
Chen, Y.; Xu, H.; Zheng, C.; Zhuang, B.; Pollefeys, M.; Geiger, A.; Cham, T.-J.; and Cai, J. 2024 · 2024
Closest in time.
Gaussianpro: 3d gaussian splatting with progressive propagation
Cheng, K.; Long, X.; Yang, K.; Yao, Y.; Yin, W.; Ma, Y.; Wang, W.; and Chen, X. 2024 · 2024
Closest in time.
Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Liu, T.; Wang, G.; Hu, S.; Shen, L.; Ye, X.; Zang, Y.; Cao, Z.; Li, W.; and Liu, Z. 2024 · 2024
Closest in time.
Compressed 3d gaussian splatting for accelerated novel view synthesis
Niedermayr, S.; Stumpfegger, J.; and Westermann, R. 2024 · 2024
Closest in time.
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
Paliwal, A.; Ye, W.; Xiong, J.; Kotovenko, D.; Ranjan, R.; Chandra, V.; and Kalantari, N. K. 2024 · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kerbl, B.; Kopanas, G.; Leimkühler, T.; and Drettakis, G. 2023 · 2023
Cited alongside, same era.
Li, X.; Zhang, Y.; and Ye, X. 2023 · 2023
Cited alongside, same era.
Read: Large-scale neural scene rendering for autonomous driving
Li, Z.; Li, L.; and Zhu, J. 2023 · 2023
Cited alongside, same era.
Real-time neural rasterization for large scenes
Liu, J. Y.; Chen, Y.; Yang, Z.; Wang, J.; Manivasagam, S.; and Urtasun, R. 2023 · 2023
Cited alongside, same era.
Mars: An instance-aware, modular and realistic simulator for autonomous driving
Wu, Z.; Liu, T.; Luo, L.; Zhong, Z.; Chen, J.; Xiao, H.; Hou, C.; Lou, H.; Chen, Y.; Yang, R.; et al. 2023 · 2023
Cited alongside, same era.
Unipad: A universal pre-training paradigm for autonomous driving
Yang, H.; Zhang, S.; Huang, D.; Wu, X.; Zhu, H.; He, T.; Tang, S.; Zhao, H.; Qiu, Q.; Lin, B.; et al. 2024a
Cited in the paper.
Emernerf: Emergent spatial-temporal scene decomposition via self-supervision
Yang, J.; Ivanovic, B.; Litany, O.; Weng, X.; Kim, S. W.; Li, B.; Che, T.; Xu, D.; Fidler, S.; Pavone, M.; et al. 2023a
Cited in the paper.
Closest in time.
Tang, S.; Chen, J.; Wang, D.; Tang, C.; Zhang, F.; Fan, Y.; Chandra, V.; Furukawa, Y.; and Ranjan, R. 2024 · 2024
Closest in time.
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
Wang, L.; Cheng, K.; Lei, S.; Wang, S.; Yin, W.; Lei, C.; Long, X.; and Lu, C.-T. 2024 · 2024
Closest in time.
Reconfusion: 3d reconstruction with diffusion priors
Wu, R.; Mildenhall, B.; Henzler, P.; Park, K.; Gao, R.; Watson, D.; Srinivasan, P. P.; Verbin, D.; Barron, J. T.; Poole, B.; et al. 2024 · 2024
Closest in time.
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
Yu, Z.; Wang, H.; Yang, J.; Wang, H.; Xie, Z.; Cai, Y.; Cao, J.; Ji, Z.; and Sun, M. 2024 · 2024
Closest in time.
Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes
Zhou, X.; Lin, Z.; Shan, X.; Wang, Y.; Sun, D.; and Yang, M.-H. 2024 · 2024
Closest in time.