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Benjamin Attal
Benjamin Attal
PhD Student, Carnegie Mellon Robotics Institute
Verified email at andrew.cmu.edu
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Cited by
Year
MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images
B Attal, S Ling, A Gokaslan, C Richardt, J Tompkin
European Conference on Computer Vision, 441-459, 2020
1002020
Törf: Time-of-flight radiance fields for dynamic scene view synthesis
B Attal, E Laidlaw, A Gokaslan, C Kim, C Richardt, J Tompkin, M O'Toole
Advances in neural information processing systems 34, 26289-26301, 2021
752021
Learning neural light fields with ray-space embedding
B Attal, JB Huang, M Zollhöfer, J Kopf, C Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
742022
Portal-ble: Intuitive free-hand manipulation in unbounded smartphone-based augmented reality
J Qian, J Ma, X Li, B Attal, H Lai, J Tompkin, JF Hughes, J Huang
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019
482019
HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling
B Attal, JB Huang, C Richardt, M Zollhoefer, J Kopf, M O’Toole, C Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
392023
Towards Mixed-State Coded Diffraction Imaging
B Attal, M O'Toole
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
12022
Neural Fields for Structured Lighting
A Shandilya, B Attal, C Richardt, J Tompkin, M O'toole
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling Supplementary Materials
B Attal, JB Huang, C Richardt, M Zollhöfer, J Kopf, M O’Toole, C Kim
Learning Neural Light Fields with Ray-Space Embedding Supplementary Material
B Attal, JB Huang, M Zollhöfer, J Kopf, C Kim
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