Dense depth priors for neural radiance fields from sparse input views B Roessle, JT Barron, B Mildenhall, PP Srinivasan, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 331 | 2022 |
Ganerf: Leveraging discriminators to optimize neural radiance fields B Roessle, N Müller, L Porzi, SR Bulò, P Kontschieder, M Nießner ACM Transactions on Graphics (TOG) 42 (6), 1-14, 2023 | 18 | 2023 |
End2End multi-view feature matching using differentiable pose optimization B Roessle, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 18* | 2023 |
MultiDiff: Consistent Novel View Synthesis from a Single Image N Müller, K Schwarz, B Rössle, L Porzi, SR Bulò, M Nießner, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
Vehicle localization in six degrees of freedom for augmented reality B Roessle, S Gruenwedel 2020 IEEE Intelligent Vehicles Symposium (IV), 1853-1858, 2020 | 3 | 2020 |
L3DG: Latent 3D Gaussian Diffusion B Roessle, N Müller, L Porzi, SR Bulò, P Kontschieder, A Dai, M Nießner arXiv preprint arXiv:2410.13530, 2024 | | 2024 |
G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles A Meric, U Kocasari, M Nießner, B Roessle arXiv preprint arXiv:2408.13508, 2024 | | 2024 |
Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors P Ungermann, A Ettenhofer, M Nießner, B Roessle arXiv preprint arXiv:2408.11697, 2024 | | 2024 |
Computer-Implemented Method for Estimating a Vehicle Position S Gruenwedel, M McElhone, MS Meissner, P Minnerup, P Pedron, ... US Patent App. 18/266,846, 2024 | | 2024 |
Computer-Implemented Method for Determining the Validity of an Estimated Position of a Vehicle S Gruenwedel, P Minnerup, B Roessle, M Winter, M Zeman US Patent App. 18/016,048, 2023 | | 2023 |
End2End Multi-View Feature Matching with Differentiable Pose Optimization Supplementary Material B Roessle, M Nießner | | |
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views Supplementary Material B Roessle, JT Barron, B Mildenhall, PP Srinivasan, M Nießner | | |