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ORCIDMatheus Gadelha
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2020 – today
- 2024
[j3]Dmitry Petrov
, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis:
ANISE: Assembly-Based Neural Implicit Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. 30(8): 4514-4526 (2024)- [c20]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CVPR 2024: 6753-6762 - [c19]Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein:
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. CVPR 2024: 7611-7620 - [c18]Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra:
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. CVPR 2024: 7695-7704 - [c17]Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou:
DMesh: A Differentiable Mesh Representation. NeurIPS 2024 - [c16]Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) 2024: 92 - [c15]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. SIGGRAPH Asia 2024: 10:1-10:11 - [i25]Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CoRR abs/2402.08654 (2024) - [i24]Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR abs/2402.16994 (2024) - [i23]Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou:
DMesh: A Differentiable Representation for General Meshes. CoRR abs/2404.13445 (2024) - [i22]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR abs/2406.01592 (2024) - [i21]Karran Pandey, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra, Paul Guerrero:
Motion Modes: What Could Happen Next? CoRR abs/2412.00148 (2024) - [i20]Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. CoRR abs/2412.00518 (2024) - [i19]Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou:
DMesh++: An Efficient Differentiable Mesh for Complex Shapes. CoRR abs/2412.16776 (2024) - 2023
- [c14]Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. ICCV 2023: 9297-9307 - [c13]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) 2023: 2105-2114 - [i18]Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. CoRR abs/2310.19188 (2023) - [i17]Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein:
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. CoRR abs/2312.01409 (2023) - [i16]Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra:
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. CoRR abs/2312.02190 (2023) - 2022
- [j2]Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis:
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41(5): 39-50 (2022) - [c12]Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang:
PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. CVPR 2022: 6209-6218 - [i15]Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis:
ANISE: Assembly-based Neural Implicit Surface rEconstruction. CoRR abs/2205.13682 (2022) - [i14]Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang:
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos. CoRR abs/2206.07710 (2022) - [i13]Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech:
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. CoRR abs/2207.00182 (2022) - [i12]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR abs/2212.06300 (2022) - 2021
- [c11]Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan:
Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications. AIVR 2021: 1-9 - [c10]Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. ICCVW 2021: 1107-1116 - [i11]Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR abs/2112.13942 (2021) - 2020
- [j1]Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. 128(10): 2651-2664 (2020) - [c9]Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CVPR 2020: 399-408 - [c8]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) 2020: 473-491 - [i10]Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR abs/2003.13834 (2020) - [i9]Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CoRR abs/2004.03028 (2020) - [i8]Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. CoRR abs/2004.04242 (2020)
2010 – 2019
- 2019
- [c7]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CVPR 2019: 5443-5451 - [c6]Matheus Gadelha, Rui Wang, Subhransu Maji:
Shape Reconstruction Using Differentiable Projections and Deep Priors. ICCV 2019: 22-30 - [i7]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CoRR abs/1904.07457 (2019) - [i6]Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections using Adversarial Networks. CoRR abs/1906.04910 (2019) - 2018
- [c5]Matheus Gadelha, Rui Wang, Subhransu Maji:
Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV (7) 2018: 105-122 - [c4]Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) 2018: 645-661 - [i5]Matheus Gadelha, Rui Wang, Subhransu Maji:
Multiresolution Tree Networks for 3D Point Cloud Processing. CoRR abs/1807.03520 (2018) - [i4]Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji:
A Deeper Look at 3D Shape Classifiers. CoRR abs/1809.02560 (2018) - 2017
- [c3]Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang:
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. 3DV 2017: 67-77 - [c2]Matheus Gadelha, Subhransu Maji, Rui Wang:
3D Shape Induction from 2D Views of Multiple Objects. 3DV 2017: 402-411 - [c1]Matheus Gadelha, Subhransu Maji, Rui Wang:
Shape Generation using Spatially Partitioned Point Clouds. BMVC 2017 - [i3]Matheus Gadelha, Subhransu Maji, Rui Wang:
Shape Generation using Spatially Partitioned Point Clouds. CoRR abs/1707.06267 (2017) - [i2]Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang:
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. CoRR abs/1707.06375 (2017) - 2016
- [i1]Matheus Gadelha, Subhransu Maji, Rui Wang:
3D Shape Induction from 2D Views of Multiple Objects. CoRR abs/1612.05872 (2016)
Coauthor Index
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