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We present latentSplat, a method to predict semantic Gaussians in a 3D latent space that can be splatted and decoded by a light-weight generative 2D architecture.
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Tucker, R., Snavely, N.: Single-view view synthesis with multiplane images. In: CVPR (2020)
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Chan, E.R., Monteiro, M., Kellnhofer, P., Wu, J., Wetzstein, G.: Pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis. In: CVPR (2021)
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Chen, A., Xu, Z., Zhao, F., Zhang, X., Xiang, F., Yu, J., Su, H.: Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo. In: ICCV (2021)
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Chibane, J., Bansal, A., Lazova, V., Pons-Moll, G.: Stereo radiance fields (srf): Learning view synthesis from sparse views of novel scenes. In: CVPR (2021)
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Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. In: NeurIPS (2021)
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Jang, W., Agapito, L.: Codenerf: Disentangled neural radiance fields for object categories. In: ICCV (2021)
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Reizenstein, J., Shapovalov, R., Henzler, P., Sbordone, L., Labatut, P., Novotny, D.: Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction. In: ICCV (2021)
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Rombach, R., Esser, P., Ommer, B.: Geometry-free view synthesis: Transformers and no 3d priors. In: ICCV (2021)
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Sitzmann, V., Rezchikov, S., Freeman, W.T., Tenenbaum, J.B., Durand, F.: Light field networks: Neural scene representations with single-evaluation rendering. In: NeurIPS (2021)
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Wang, P., Liu, L., Liu, Y., Theobalt, C., Komura, T., Wang, W.: Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction. In: NeurIPS (2021)
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Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering. ACM Transactions on Graphics (2023)
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Lin, K.E., Yen-Chen, L., Lai, W.S., Lin, T.Y., Shih, Y.C., Ramamoorthi, R.: Vision transformer for nerf-based view synthesis from a single input image. In: WACV (2023)
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2021
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Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. In: NeurIPS (2021)
2021
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Yu, A., Ye, V., Tancik, M., Kanazawa, A.: pixelNeRF: Neural radiance fields from one or few images. In: CVPR (2021)
2021
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Chan, E.R., Lin, C.Z., Chan, M.A., Nagano, K., Pan, B., Mello, S.D., Gallo, O., Guibas, L., Tremblay, J., Khamis, S., Karras, T., Wetzstein, G.: Efficient geometry-aware 3D generative adversarial networks. In: CVPR (2022)
2022
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Ding, K., Ma, K., Wang, S., Simoncelli, E.P.: Image quality assessment: Unifying structure and texture similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)
2022
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Guo, P., Bautista, M.A., Colburn, A., Yang, L., Ulbricht, D., Susskind, J.M., Shan, Q.: Fast and explicit neural view synthesis. In: WACV (2022)
2022
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Johari, M.M., Lepoittevin, Y., Fleuret, F.: Geonerf: Generalizing nerf with geometry priors. CVPR (2022)
2022
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Liu, Y., Peng, S., Liu, L., Wang, Q., Wang, P., Theobalt, C., Zhou, X., Wang, W.: Neural rays for occlusion-aware image-based rendering. In: CVPR (2022)
2022
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2023
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Liu, R., Wu, R., Hoorick, B.V., Tokmakov, P., Zakharov, S., Vondrick, C.: Zero-1-to-3: Zero-shot one image to 3d object. In: ICCV (2023)
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Melas-Kyriazi, L., Rupprecht, C., Vedaldi, A.: Pc2: Projection-conditioned point cloud diffusion for single-image 3d reconstruction. In: CVPR (2023)
2023
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Müller, N., Siddiqui, Y., Porzi, L., Bulò, S.R., Kontschieder, P., Nießner, M.: Diffrf: Rendering-guided 3d radiance field diffusion. In: CVPR (2023)
2023
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Pavllo, D., Tan, D.J., Rakotosaona, M.J., Tombari, F.: Shape, pose, and appearance from a single image via bootstrapped radiance field inversion. In: CVPR (2023)
2023
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Shue, J.R., Chan, E.R., Po, R., Ankner, Z., Wu, J., Wetzstein, G.: 3d neural field generation using triplane diffusion. In: CVPR (2023)
2023
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Szymanowicz, S., Rupprecht, C., Vedaldi, A.: Viewset diffusion: (0-)image-conditioned 3d generative models from 2d data. In: ICCV (2023)
2023
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Tewari, A., Yin, T., Cazenavette, G., Rezchikov, S., Tenenbaum, J., Durand, F., Freeman, B., Sitzmann, V.: Diffusion with forward models: Solving stochastic inverse problems without direct supervision. In: NeurIPS (2023)
2023
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Watson, D., Chan, W., Brualla, R.M., Ho, J., Tagliasacchi, A., Norouzi, M.: Novel view synthesis with diffusion models. In: ICLR (2023)
2023
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Wewer, C., Ilg, E., Schiele, B., Lenssen, J.E.: SimNP: Learning self-similarity priors between neural points. In: ICCV (2023)
2023
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Zhou, Z., Tulsiani, S.: Sparsefusion: Distilling view-conditioned diffusion for 3d reconstruction. In: CVPR (2023)
2023
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Anciukevičius, T., Manhardt, F., Tombari, F., Henderson, P.: Denoising diffusion via image-based rendering. In: ICLR (2024)
2024
Closest in time.
Charatan, D., Li, S., Tagliasacchi, A., Sitzmann, V.: pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction. In: CVPR (2024)
2024
Closest in time.
Das, D., Wewer, C., Yunus, R., Ilg, E., Lenssen, J.E.: Neural parametric gaussians for monocular non-rigid object reconstruction. In: CVPR (2024)
2024
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Guédon, A., Lepetit, V.: Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering. In: CVPR (2024)
2024
Closest in time.
Huang, B., Yu, Z., Chen, A., Geiger, A., Gao, S.: 2d gaussian splatting for geometrically accurate radiance fields. In: SIGGRAPH 2024 Conference Papers (2024)
2024
Closest in time.
Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Müller, J., Penna, J., Rombach, R.: SDXL: Improving latent diffusion models for high-resolution image synthesis. In: ICLR (2024)
2024
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Sargent, K., Li, Z., Shah, T., Herrmann, C., Yu, H.X., Zhang, Y., Chan, E.R., Lagun, D., Fei-Fei, L., Sun, D., Wu, J.: Zeronvs: Zero-shot 360-degree view synthesis from a single image. In: CVPR (2024)
2024
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Schröppel, P., Wewer, C., Lenssen, J.E., Ilg, E., Brox, T.: Neural point cloud diffusion for disentangled 3d shape and appearance generation. In: CVPR (2024)
2024
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Szymanowicz, S., Rupprecht, C., Vedaldi, A.: Splatter image: Ultra-fast single-view 3d reconstruction. In: CVPR (2024)
2024
Closest in time.
Wu, G., Yi, T., Fang, J., Xie, L., Zhang, X., Wei, W., Liu, W., Tian, Q., Xinggang, W.: 4d gaussian splatting for real-time dynamic scene rendering. In: CVPR (2024)
2024
Closest in time.
Wu, R., Mildenhall, B., Henzler, P., Park, K., Gao, R., Watson, D., Srinivasan, P.P., Verbin, D., Barron, J.T., Poole, B., Holynski, A.: Reconfusion: 3d reconstruction with diffusion priors. In: CVPR (2024)
2024
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Xie, X., Bhatnagar, B., Lenssen, J.E., Pons-Moll, G.: Template free reconstruction of human-object interaction with procedural interaction generation. In: CVPR (2024)
2024
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