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With the widespread use of virtual reality applications, 3D scene generation has become a new challenging research frontier.
Bilateral filtering for gray and color images
Tomasi, C.; and Manduchi, R. 1998 · 1998
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Photo tourism: exploring photo collections in 3D
Snavely, N.; Seitz, S. M.; and Szeliski, R. 2006 · 2006
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No-reference image quality assessment in the spatial domain
Mittal, A.; Moorthy, A. K.; and Bovik, A. C. 2012 · 2012
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Making a “completely blind” image quality analyzer
Mittal, A.; Soundararajan, R.; and Bovik, A. C. 2012 · 2012
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State of the art in surface reconstruction from point clouds
Berger, M.; Tagliasacchi, A.; Seversky, L. M.; Alliez, P.; Levine, J. A.; Sharf, A.; and Silva, C. T. 2014 · 2014
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Structure-from-motion revisited
Schonberger, J. L.; and Frahm, J.-M. 2016 · 2016
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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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Robust unsupervised domain adaptation for neural networks via moment alignment
Zellinger, W.; Moser, B. A.; Grubinger, T.; Lughofer, E.; Natschläger, T.; and Saminger-Platz, S. 2019 · 2019
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Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
Ranftl, R.; Lasinger, K.; Hafner, D.; Schindler, K.; and Koltun, V. 2020 · 2020
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Clipscore: A reference-free evaluation metric for image captioning
Hessel, J.; Holtzman, A.; Forbes, M.; Bras, R. L.; and Choi, Y. 2021 · 2021
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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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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
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Barron, J. T.; Mildenhall, B.; Verbin, D.; Srinivasan, P. P.; and Hedman, P. 2022 · 2022
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Understanding pure clip guidance for voxel grid nerf models
Lee, H.-H.; and Chang, A. X. 2022 · 2022
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Clip-mesh: Generating textured meshes from text using pretrained image-text models
Mohammad Khalid, N.; Xie, T.; Belilovsky, E.; and Popa, T. 2022 · 2022
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Müller, T.; Evans, A.; Schied, C.; and Keller, A. 2022 · 2022
Cited alongside, same era.
Extracting triangular 3d models, materials, and lighting from images
Munkberg, J.; Hasselgren, J.; Shen, T.; Gao, J.; Chen, W.; Evans, A.; Müller, T.; and Fidler, S. 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.
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.
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Tang, J.; Ren, J.; Zhou, H.; Liu, Z.; and Zeng, G. 2023 · 2023
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Exploring clip for assessing the look and feel of images
Wang, J.; Chan, K. C.; and Loy, C. C. 2023 · 2023
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A survey on 3d gaussian splatting
Chen, G.; and Wang, W. 2024 · 2024
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Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
Engstler, P.; Vedaldi, A.; Laina, I.; and Rupprecht, C. 2024 · 2024
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Scenescape: Text-driven consistent scene generation
Fridman, R.; Abecasis, A.; Kasten, Y.; and Dekel, T. 2024 · 2024
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Bhat, S. F.; Birkl, R.; Wofk, D.; Wonka, P.; and Müller, M. 2023 · 2023
Cited alongside, same era.
Luciddreamer: Domain-free generation of 3d gaussian splatting scenes
Chung, J.; Lee, S.; Nam, H.; Lee, J.; and Lee, K. M. 2023 · 2023
Cited alongside, same era.
XTuner: A Toolkit for Efficiently Fine-tuning LLM
Contributors, X. 2023 · 2023
Cited alongside, same era.
Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps
Fan, Z.; Wang, K.; Wen, K.; Zhu, Z.; Xu, D.; and Wang, Z. 2023 · 2023
Cited alongside, same era.
Text2room: Extracting textured 3d meshes from 2d text-to-image models
Höllein, L.; Cao, A.; Owens, A.; Johnson, J.; and Nießner, M. 2023 · 2023
Cited alongside, same era.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Kerbl, B.; Kopanas, G.; Leimkühler, T.; and Drettakis, G. 2023 · 2023
Cited alongside, same era.
Magic3d: High-resolution text-to-3d content creation
Lin, C.-H.; Gao, J.; Tang, L.; Takikawa, T.; Zeng, X.; Huang, X.; Kreis, K.; Fidler, S.; Liu, M.-Y.; and Lin, T.-Y. 2023 · 2023
Cited alongside, same era.
SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting
Hou, X.; Li, M.; Chen, J.; Yang, D.; Qian, Z.; and Zhang, L. 2024 · 2024
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DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
Li, H.; Shi, H.; Zhang, W.; Wu, W.; Liao, Y.; Wang, L.; Lee, L.-h.; and Zhou, P. 2024 · 2024
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Scaffold-gs: Structured 3d gaussians for view-adaptive rendering
Lu, T.; Yu, M.; Xu, L.; Xiangli, Y.; Wang, L.; Lin, D.; and Dai, B. 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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Wonderjourney: Going from anywhere to everywhere
Yu, H.-X.; Duan, H.; Hur, J.; Sargent, K.; Rubinstein, M.; Freeman, W. T.; Cole, F.; Sun, D.; Snavely, N.; Wu, J.; et al. 2024 · 2024
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DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling
Yuan, X.; Yang, H.; Zhao, Y.; and Huang, D. 2024 · 2024
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Text2nerf: Text-driven 3d scene generation with neural radiance fields
Zhang, J.; Li, X.; Wan, Z.; Wang, C.; and Liao, J. 2024 · 2024
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Hac: Hash-grid assisted context for 3d gaussian splatting compression
Chen, Y.; Wu, Q.; Lin, W.; Harandi, M.; and Cai, J. 2025 · 2025
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