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Barbara Roessle
Barbara Roessle
在 tum.de 的电子邮件经过验证 - 首页
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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
3312022
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
182023
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
62024
Vehicle localization in six degrees of freedom for augmented reality
B Roessle, S Gruenwedel
2020 IEEE Intelligent Vehicles Symposium (IV), 1853-1858, 2020
32020
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
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