Richard Tucker
Richard Tucker
Verified email at google.com
Title
Cited by
Cited by
Year
Stereo magnification: Learning view synthesis using multiplane images
T Zhou, R Tucker, J Flynn, G Fyffe, N Snavely
arXiv preprint arXiv:1805.09817, 2018
2832018
DeepView: View synthesis with learned gradient descent
J Flynn, M Broxton, P Debevec, M DuVall, G Fyffe, R Overbeck, N Snavely, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1382019
Pushing the boundaries of view extrapolation with multiplane images
PP Srinivasan, R Tucker, JT Barron, R Ramamoorthi, R Ng, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1282019
Learning the depths of moving people by watching frozen people
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1192019
Layer-structured 3d scene inference via view synthesis
S Tulsiani, R Tucker, N Snavely
Proceedings of the European Conference on Computer Vision (ECCV), 302-317, 2018
702018
Single-View View Synthesis with Multiplane Images
R Tucker, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
622020
MetaSDF: Meta-learning Signed Distance Functions
V Sitzmann, E Chan, R Tucker, N Snavely, G Wetzstein
Advances in Neural Information Processing Systems 33, 2020
292020
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
PP Srinivasan, B Mildenhall, M Tancik, JT Barron, R Tucker, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
Infinite nature: Perpetual view generation of natural scenes from a single image
A Liu, R Tucker, V Jampani, A Makadia, N Snavely, A Kanazawa
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
DeepView: High-quality view synthesis by learned gradient descent
J Flynn, M Broxton, P Debevec, M DuVall, G Fyffe, RS Overbeck, ...
42019
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
32020
De-Rendering the World's Revolutionary Artefacts
S Wu, A Makadia, J Wu, N Snavely, R Tucker, A Kanazawa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Layer-structured 3D Scene Inference via View Synthesis
N Snavely, R Tucker, S Tulsiani
12018
Consistent depth of moving objects in video
Z Zhang, F Cole, R Tucker, WT Freeman, T Dekel
ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021
2021
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
V Jampani, H Chang, K Sargent, A Kar, R Tucker, M Krainin, D Kaeser, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
T Jakab, R Tucker, A Makadia, J Wu, N Snavely, A Kanazawa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Repopulating Street Scenes
Y Wang, A Liu, R Tucker, J Wu, BL Curless, SM Seitz, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Supplementary Material for SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
V Jampani, H Chang, K Sargent, A Kar, R Tucker, M Krainin, D Kaeser, ...
Unsupervised 3D Keypoint Discovery for Shape Control
T Jakab, R Tucker, A Makadia, J Wu, N Snavely, A Kanazawa, A Ablations
Supplementary Material: De-rendering the World’s Revolutionary Artefacts
S Wu, A Makadia, J Wu, N Snavely, R Tucker, A Kanazawa
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Articles 1–20