Matheus Gadelha

According to our database, Matheus Gadelha authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

ANISE: Assembly-Based Neural Implicit Surface Reconstruction.

Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis

IEEE Trans. Vis. Comput. Graph., August, 2024

DMesh: A Differentiable Representation for General Meshes.

Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou

CoRR, 2024

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling.

Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis.

Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D.

Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra

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

Learning Continuous 3D Words for Text-to-Image Generation.

Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni

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

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models.

Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein

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

2023

Accidental Turntables: Learning 3D Pose by Watching Objects Turn.

Zezhou Cheng, Matheus Gadelha, Subhransu Maji

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

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets.

Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni

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

2022

Leveraging Monocular Disparity Estimation for Single-View Reconstruction.

Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech

CoRR, 2022

PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos.

Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang

CoRR, 2022

PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation.

Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis

Comput. Graph. Forum, 2022

PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos.

Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang

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

2021

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds.

Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji

CoRR, 2021

Deep Manifold Prior.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications.

Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2021

2020

Inferring 3D Shapes from Image Collections Using Adversarial Networks.

Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang

Int. J. Comput. Vis., 2020

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions.

Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Generative Models of Shape Handles.

Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Shape Reconstruction Using Differentiable Projections and Deep Priors.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Bayesian Perspective on the Deep Image Prior.

Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Deeper Look at 3D Shape Classifiers.

Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multiresolution Tree Networks for 3D Point Cloud Processing.

Matheus Gadelha, Rui Wang, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Shape Generation using Spatially Partitioned Point Clouds.

Matheus Gadelha, Subhransu Maji, Rui Wang

Proceedings of the British Machine Vision Conference 2017, 2017

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks.

Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang

Proceedings of the 2017 International Conference on 3D Vision, 2017

3D Shape Induction from 2D Views of Multiple Objects.

Matheus Gadelha, Subhransu Maji, Rui Wang

Proceedings of the 2017 International Conference on 3D Vision, 2017