Daniel Rebain

According to our database, Daniel Rebain authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction.

Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2024

Does Gaussian Splatting need SFM Initialization?

Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2024

3D Gaussian Splatting as Markov Chain Monte Carlo.

Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

CoRR, 2024

2023

Attention Beats Concatenation for Conditioning Neural Fields.

Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi

Trans. Mach. Learn. Res., 2023

Volumetric Rendering with Baked Quadrature Fields.

Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2023

Accelerating Neural Field Training via Soft Mining.

Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

CoRR, 2023

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.

Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

nerf2nerf: Pairwise Registration of Neural Radiance Fields.

Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

LOLNeRF: Learn from One Look.

Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kubric: A scalable dataset generator.

Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Medial Fields.

Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2021

DeRF: Decomposed Radiance Fields.

Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

VIPER: Volume Invariant Position-based Elastic Rods.

Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi

Proc. ACM Comput. Graph. Interact. Tech., 2019

LSMAT Least Squares Medial Axis Transform.

Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi

Comput. Graph. Forum, 2019