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Dynamic 3D interaction has been attracting a lot of attention recently.
Learning representations by back-propagating errors
Rumelhart, D. E.; Hinton, G. E.; and Williams, R. J. 1986 · 1986
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
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The Scope of Image Quality Metrics , volume 6806
Huynh-Thu, Q.; and Ghanbari, M. 2008 · 2008
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A material point method for snow simulation
Stomakhin, A.; Schroeder, C.; Chai, L.; Teran, J.; and Selle, A. 2013 · 2013
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The material point method for simulating continuum materials
Jiang, C.; Schroeder, C.; Teran, J.; Stomakhin, A.; and Selle, A. 2016 · 2016
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Quo vadis, action recognition? A new model and the Kinetics dataset
Carreira, J.; and Zisserman, A. 2017 · 2017
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ScanNet: Richly-annotated 3D reconstructions of indoor scenes
Dai, A.; Chang, A. X.; Savva, M.; Halber, M.; Funkhouser, T.; and Nießner, M. 2017 · 2017
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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
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PointNet: Deep learning on point sets for 3D classification and segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017 · 2017
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Gibson env: Real-world perception for embodied agents
Xia, F.; Zamir, A. R.; He, Z.; Sax, A.; Malik, J.; and Savarese, S. 2018 · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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Deepsdf: Learning continuous signed distance functions for shape representation
Park, J. J.; Florence, P.; Straub, J.; Newcombe, R.; and Lovegrove, S. 2019 · 2019
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Expressive body capture: 3d hands, face, and body from a single image
Pavlakos, G.; Choutas, V.; Ghorbani, N.; Bolkart, T.; Osman, A. A.; Tzionas, D.; and Black, M. J. 2019 · 2019
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Habitat: A platform for embodied ai research
Savva, M.; Kadian, A.; Maksymets, O.; Zhao, Y.; Wijmans, E.; Jain, B.; Straub, J.; Liu, J.; Koltun, V.; Malik, J.; et al. 2019 · 2019
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Towards qualitative evaluation of video generation models
Unterthiner, T.; Nessler, B.; Heigold, G.; Kirschbaum, S.; Kalchbrenner, N.; Ramsauer, H.; Klambauer, G.; and Hochreiter, S. 2019 · 2019
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Deep learning for 3D point clouds: A survey
Guo, Y.; Wang, H.; Hu, Q.; Liu, H.; Liu, L.; and Bennamoun, M. 2020 · 2020
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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
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Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
Reizenstein, J.; Shapovalov, R.; Henzler, P.; Sbordone, L.; Labatut, P.; and Novotny, D. 2021 · 2021
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Minedojo: Building open-ended embodied agents with internet-scale knowledge
Fan, L.; Wang, G.; Jiang, Y.; Mandlekar, A.; Yang, Y.; Zhu, H.; Tang, A.; Huang, D.-A.; Zhu, Y.; and Anandkumar, A. 2022 · 2022
Cited alongside, same era.
aesthetic-predictor
LAION-AI. 2022 · 2022
Cited alongside, same era.
Warp: A High-performance Python Framework for GPU Simulation and Graphics
Macklin, M. 2022 · 2022
Cited alongside, same era.
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Nichol, A.; Jun, H.; Dhariwal, P.; Mishkin, P.; and Chen, M. 2022 · 2022
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Poole, B.; Jain, A.; Barron, J. T.; and Mildenhall, B. 2022 · 2022
Cited alongside, same era.
Zero-1-to-3: Zero-shot one image to 3d object
Liu, R.; Wu, R.; Van Hoorick, B.; Tokmakov, P.; Zakharov, S.; and Vondrick, C. 2023 · 2023
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Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Long, X.; Guo, Y.-C.; Lin, C.; Liu, Y.; Dou, Z.; Liu, L.; Ma, Y.; Zhang, S.-H.; Habermann, M.; Theobalt, C.; et al. 2023 · 2023
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Latent-nerf for shape-guided generation of 3d shapes and textures
Metzer, G.; Richardson, E.; Patashnik, O.; Giryes, R.; and Cohen-Or, D. 2023 · 2023
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DreamGaussian4D: Generative 4D Gaussian Splatting
Ren, J.; Pan, L.; Tang, J.; Zhang, C.; Cao, A.; Zeng, G.; and Liu, Z. 2023 · 2023
Later among the works it cites.
Mvdream: Multi-view diffusion for 3d generation
Shi, Y.; Wang, P.; Ye, J.; Long, M.; Li, K.; and Yang, X. 2023 · 2023
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Singer, U.; Polyak, A.; Hayes, T.; Yin, X.; An, J.; Zhang, S.; Hu, Q.; Yang, H.; Ashual, O.; Gafni, O.; et al. 2022 · 2022
Cited alongside, same era.
4d-fy: Text-to-4d generation using hybrid score distillation sampling
Bahmani, S.; Skorokhodov, I.; Rong, V.; Wetzstein, G.; Guibas, L.; Wonka, P.; Tulyakov, S.; Park, J. J.; Tagliasacchi, A.; and Lindell, D. B. 2023 · 2023
Cited alongside, same era.
Stable video diffusion: Scaling latent video diffusion models to large datasets
Blattmann, A.; Dockhorn, T.; Kulal, S.; Mendelevitch, D.; Kilian, M.; Lorenz, D.; Levi, Y.; English, Z.; Voleti, V.; Letts, A.; et al. 2023 · 2023
Cited alongside, same era.
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Chen, R.; Chen, Y.; Jiao, N.; and Jia, K. 2023 · 2023
Cited alongside, same era.
Objaverse: A universe of annotated 3d objects
Deitke, M.; Schwenk, D.; Salvador, J.; Weihs, L.; Michel, O.; VanderBilt, E.; Schmidt, L.; Ehsani, K.; Kembhavi, A.; and Farhadi, A. 2023 · 2023
Cited alongside, same era.
Lrm: Large reconstruction model for single image to 3d
Hong, Y.; Zhang, K.; Gu, J.; Bi, S.; Zhou, Y.; Liu, D.; Liu, F.; Sunkavalli, K.; Bui, T.; and Tan, H. 2023 · 2023
Cited alongside, same era.
Shap-E: Generating Conditional 3D Implicit Functions
Jun, H.; and Nichol, A. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Text-to-4d dynamic scene generation
Singer, U.; Sheynin, S.; Polyak, A.; Ashual, O.; Makarov, I.; Kokkinos, F.; Goyal, N.; Vedaldi, A.; Parikh, D.; Johnson, J.; et al. 2023 · 2023
Later among the works it cites.
Physgaussian: Physics-integrated 3d gaussians for generative dynamics
Xie, T.; Zong, Z.; Qiu, Y.; Li, X.; Feng, Y.; Yang, Y.; and Jiang, C. 2023 · 2023
Later among the works it cites.
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
Yu, C.; Lu, G.; Zeng, Y.; Sun, J.; Liang, X.; Li, H.; Xu, Z.; Xu, S.; Zhang, W.; and Xu, H. 2023 · 2023
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Controlvideo: Training-free controllable text-to-video generation
Zhang, Y.; Wei, Y.; Jiang, D.; Zhang, X.; Zuo, W.; and Tian, Q. 2023 · 2023
Later among the works it cites.
Animate124: Animating one image to 4d dynamic scene
Zhao, Y.; Yan, Z.; Xie, E.; Hong, L.; Li, Z.; and Lee, G. H. 2023 · 2023
Later among the works it cites.
Objaverse-xl: A universe of 10m+ 3d objects
Deitke, M.; Liu, R.; Wallingford, M.; Ngo, H.; Michel, O.; Kusupati, A.; Fan, A.; Laforte, C.; Voleti, V.; Gadre, S. Y.; et al. 2024 · 2024
Closest in time.
VR-GS: a physical dynamics-aware interactive gaussian splatting system in virtual reality
Jiang, Y.; Yu, C.; Xie, T.; Li, X.; Feng, Y.; Wang, H.; Li, M.; Lau, H.; Gao, F.; Yang, Y.; et al. 2024 · 2024
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Kan: Kolmogorov-arnold networks
Liu, Z.; Wang, Y.; Vaidya, S.; Ruehle, F.; Halverson, J.; Soljačić, M.; Hou, T. Y.; and Tegmark, M. 2024 · 2024
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Manigaussian: Dynamic gaussian splatting for multi-task robotic manipulation
Lu, G.; Zhang, S.; Wang, Z.; Liu, C.; Lu, J.; and Tang, Y. 2024 · 2024
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Lgm: Large multi-view gaussian model for high-resolution 3d content creation
Tang, J.; Chen, Z.; Chen, X.; Wang, T.; Zeng, G.; and Liu, Z. 2024 · 2024
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Wang, Z.; Lu, C.; Wang, Y.; Bao, F.; Li, C.; Su, H.; and Zhu, J. 2024 · 2024
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PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Zhang, T.; Yu, H.-X.; Wu, R.; Feng, B. Y.; Zheng, C.; Snavely, N.; Wu, J.; and Freeman, W. T. 2024 · 2024
Closest in time.