Fetching the paper…
Reading the bibliography…
We propose Gaussian Frosting, a novel mesh-based representation for high-quality rendering and editing of complex 3D effects in real-time.
Wood, D.N., Azuma, D.I., Aldinger, K., Curless, B., Duchamp, T., Salesin, D.H., Stuetzle, W.: Surface Light Fields for 3D Photography. In: ACM SIGGRAPH (2000)
2000
Earlier work this paper cites.
Buehler, C., Bosse, M., Mcmillan, L., Gortler, S., Cohen, M.: Unstructured Lumigraph Rendering. In: ACM SIGGRAPH (2001)
2001
Earlier work this paper cites.
Kazhdan, M.M., Bolitho, M., Hoppe, H.: Poisson Surface Reconstruction. In: Eurographics (2006)
2006
Earlier work this paper cites.
Snavely, N., Seitz, S.M., Szeliski, R.: Photo Tourism: Exploring Photo Collections in 3D. In: ACM SIGGRAPH (2006)
2006
Earlier work this paper cites.
Goesele, M., Snavely, N., Curless, B., Hoppe, H., Seitz, S.: Multi-View Stereo for Community Photo Collections. In: International Conference on Computer Vision (2007)
2007
Earlier work this paper cites.
Schönberger, J.L., Frahm, J.M.: Structure-from-Motion Revisited. In: Conference on Computer Vision and Pattern Recognition (2016)
2016
Earlier work this paper cites.
Schönberger, J.L., Zheng, E., Pollefeys, M., Frahm, J.M.: Pixelwise View Selection for Unstructured Multi-View Stereo. In: European Conference on Computer Vision (2016)
2016
Earlier work this paper cites.
Knapitsch, A., Park, J., Zhou, Q.Y., Koltun, V.: Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction. In: ACM SIGGRAPH (2017)
2017
Earlier work this paper cites.
Hedman, P., Philip, J., Price, T., Frahm, J.M., Drettakis, G., Brostow, G.: Deep Blending for Free-Viewpoint Image-Based Rendering. In: ACM SIGGRAPH (2018)
2018
Earlier work this paper cites.
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. In: Conference on Computer Vision and Pattern Recognition (2018)
2018
Earlier work this paper cites.
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., Devito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., Chintala, S.: PyTorch: An Imperative Style, High-Performance Deep Learning Library. In: Advances in Neural Information Processing Systems. Curran Associates Inc. (2019)
2019
Earlier work this paper cites.
Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In: European Conference on Computer Vision (2020)
2020
Earlier work this paper cites.
Riegler, G., Koltun, V.: Free View Synthesis. In: European Conference on Computer Vision (2020)
2020
Earlier work this paper cites.
Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In: International Conference on Computer Vision (2021)
2021
Earlier work this paper cites.
Boss, M., Braun, R., Jampani, V., Barron, J.T., Liu, C., Lensch, H.P.A.: NeRD: Neural Reflectance Decomposition from Image Collections. In: International Conference on Computer Vision (2021)
2021
Earlier work this paper cites.
Hedman, P., Srinivasan, P.P.: Baking Neural Radiance Fields for Real-Time View Synthesis. In: International Conference on Computer Vision (2021)
2021
Earlier work this paper cites.
Kopanas, G., Philip, J., Leimkühler, T., Drettakis, G.: Point-Based Neural Rendering with Per-View Optimization. In: Computer Graphics Forum (2021)
2021
Cited alongside, same era.
Oechsle, M., Peng, S., Geiger, A.: UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. In: International Conference on Computer Vision (2021)
2021
Cited alongside, same era.
Reiser, C., Peng, S., Liao, Y., Geiger, A.: KiloNeRF: Speeding Up Neural Radiance Fields with Thousands of Tiny MLPs. In: International Conference on Computer Vision (2021)
2021
Cited alongside, same era.
Riegler, G., Koltun, V.: Stable View Synthesis. In: Conference on Computer Vision and Pattern Recognition (2021)
2021
Cited alongside, same era.
Srinivasan, P.P., Deng, B., Zhang, X., Tancik, M., Mildenhall, B., Barron, J.T.: NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. In: Conference on Computer Vision and Pattern Recognition (2021)
Rückert, D., Franke, L., Stamminger, M.: ADOP: Approximate Differentiable One-Pixel Point Rendering. In: ACM SIGGRAPH (2022)
2022
Later among the works it cites.
Sun, C., Sun, M., Chen, H.T.: Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction. In: Conference on Computer Vision and Pattern Recognition (2022)
2022
Later among the works it cites.
Verbin, D., Hedman, P., Mildenhall, B., Zickler, T., Barron, J.T., Srinivasan, P.P.: Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. In: Conference on Computer Vision and Pattern Recognition (2022)
2022
Later among the works it cites.
Yu, A., Fridovich-Keil, S., Tancik, M., Chen, Q., Recht, B., Kanazawa, A.: Plenoxels: Radiance Fields Without Neural Networks. In: Conference on Computer Vision and Pattern Recognition (2022)
2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2021
Cited alongside, same era.
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: Advances in Neural Information Processing Systems (2021)
2021
Cited alongside, same era.
Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume Rendering of Neural Implicit Surfaces. In: Advances in Neural Information Processing Systems (2021)
2021
Cited alongside, same era.
Yu, A., Li, R., Tancik, M., Li, H., Ng, R., Kanazawa, A.: PlenOctrees For Real-Time Rendering of Neural Radiance Fields. In: International Conference on Computer Vision (2021)
2021
Cited alongside, same era.
Zhang, K., Luan, F., Wang, Q., Bala, K., Snavely, N.: PhySG: Inverse Rendering with Spherical Gaussians for Physics-Based Material Editing and Relighting. In: Conference on Computer Vision and Pattern Recognition (2021)
2021
Cited alongside, same era.
Barron, J.T., Mildenhall, B., Verbin, D., Srinivasan, P.P., Hedman, P.: Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. In: Conference on Computer Vision and Pattern Recognition (2022)
2022
Cited alongside, same era.
Chen, A., Xu, Z., Geiger, A., Yu, J., Su, H.: TensoRF: Tensorial Radiance Fields. In: European Conference on Computer Vision (2022)
2022
Cited alongside, same era.
Chong Bao and Bangbang Yang, Junyi, Z., Hujun, B., Yinda, Z., Zhaopeng, C., Guofeng, Z.: NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing. In: European Conference on Computer Vision (2022)
2022
Cited alongside, same era.
Chen, Y., Chen, Z., Zhang, C., Wang, F., Yang, X., Wang, Y., Cai, Z., Yang, L., Liu, H., Lin, G.: GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting. In: arXiv Preprint (2023)
2023
Later among the works it cites.
Chen, Z., Funkhouser, T., Hedman, P., Tagliasacchi, A.: MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. In: Conference on Computer Vision and Pattern Recognition (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Huang, J., Yu, H.: Point’n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields. In: arXiv Preprint (2023)
2023
Later among the works it cites.
Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3D Gaussian Splatting for Real-Time Radiance Field Rendering. In: ACM SIGGRAPH (2023)
2023
Later among the works it cites.
Li, Z., Müller, T., Evans, A., Taylor, R.H., Unberath, M., Liu, M.Y., Lin, C.H.: Neuralangelo: High-Fidelity Neural Surface Reconstruction. In: Conference on Computer Vision and Pattern Recognition (2023)
2023
Later among the works it cites.
Rakotosaona, M.J., Manhardt, F., Arroyo, D.M., Niemeyer, M., Kundu, A., Tombari, F.: NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. In: International Conference on 3D Vision (2023)
2023
Later among the works it cites.
Wang, Z., Shen, T., Nimier-David, M., Sharp, N., Gao, J., Keller, A., Fidler, S., Müller, T., Gojcic, Z.: Adaptive Shells for Efficient Neural Radiance Field Rendering. In: ACM SIGGRAPH (2023)
2023
Later among the works it cites.
Yariv, L., Hedman, P., Reiser, C., Verbin, D., Srinivasan, P.P., Szeliski, R., Barron, J.T.: BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis. In: ACM SIGGRAPH (2023)
2023
Later among the works it cites.
Ye, M., Danelljan, M., Yu, F., Ke, L.: Gaussian Grouping: Segment and Edit Anything in 3D Scenes. In: arXiv Preprint (2023)
2023
Later among the works it cites.
Kim, C.M., Wu, M., Kerr, J., Tancik, M., Goldberg, K., Kanazawa, A.: GARField: Group Anything with Radiance Fields. In: arXiv Preprint (2024)
2024
Closest in time.
Reiser, C., Garbin, S., Srinivasan, P.P., Verbin, D., Szeliski, R., Mildenhall, B., Barron, J.T., Hedman, P., Geiger, A.: Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis (2024)
2024
Closest in time.