Daniel Rebain

According to our database, Daniel Rebain authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Triangle Splatting+: Differentiable Rendering with Opaque Triangles.

Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi

CoRR, September, 2025

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction.

Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi

CoRR, September, 2025

ROOM: A Physics-Based Continuum Robot Simulator for Photorealistic Medical Datasets Generation.

Salvatore Esposito, Matías Mattamala, Daniel Rebain, Francis Xiatian Zhang, Kevin Dhaliwal, Mohsen Khadem, Subramanian Ramamoorthy

CoRR, September, 2025

Radiant Foam: Real-Time Differentiable Ray Tracing.

Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, February, 2025

VesselSDF: Distance Field Priors for Vascular Network Reconstruction.

Salvatore Esposito, Daniel Rebain, Arno Onken, Changjian Li, Oisin Mac Aodha

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections.

Thomas Walker, Salvatore Esposito, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li, Oisin Mac Aodha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo.

Wei Zhi Tang, Daniel Rebain, Konstantinos G. Derpanis, Kwang Moo Yi

Proceedings of the International Conference on 3D Vision, 2025

NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization.

Zhen (Colin) Li, Weiwei Sun, Shrisudhan Govindarajan, Shaobo Xia, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the International Conference on 3D Vision, 2025

2024

Lagrangian Hashing for Compressed Neural Field Representations.

Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, 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

3D Gaussian Splatting as Markov Chain Monte Carlo.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Volumetric Rendering with Baked Quadrature Fields.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Lagrangian Hashing for Compressed Neural Field Representations.

Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the Computer Vision - ECCV 2024, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space.

Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Accelerating Neural Field Training via Soft Mining.

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

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

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