Matheus Gadelha

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Diffusion Models

Top Venues

Publications

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 (2024)
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
DMesh: A Differentiable Representation for General Meshes. CoRR (2024)
Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis
ANISE: Assembly-Based Neural Implicit Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
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)
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 (2024)
Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR (2024)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos. CoRR (2022)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR (2022)
Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis
ANISE: Assembly-based Neural Implicit Surface rEconstruction. CoRR (2022)
Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. CoRR (2022)
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) (2022)
Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang
PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. CVPR (2022)
Matheus Gadelha, Rui Wang, Subhransu Maji
Deep Manifold Prior. ICCVW (2021)
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 (2021)
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)
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
Learning Generative Models of Shape Handles. CVPR (2020)
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
Learning Generative Models of Shape Handles. CoRR (2020)
Matheus Gadelha, Rui Wang, Subhransu Maji
Deep Manifold Prior. CoRR (2020)
Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. 128 (10) (2020)
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)
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 (2020)
Matheus Gadelha, Rui Wang, Subhransu Maji
Shape Reconstruction Using Differentiable Projections and Deep Priors. ICCV (2019)
Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
Inferring 3D Shapes from Image Collections using Adversarial Networks. CoRR (2019)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CoRR (2019)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CVPR (2019)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) (2018)
Matheus Gadelha, Rui Wang, Subhransu Maji
Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV (7) (2018)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. CoRR (2018)
Matheus Gadelha, Rui Wang, Subhransu Maji
Multiresolution Tree Networks for 3D Point Cloud Processing. CoRR (2018)
Matheus Gadelha, Subhransu Maji, Rui Wang
Shape Generation using Spatially Partitioned Point Clouds. CoRR (2017)
Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. 3DV (2017)
Matheus Gadelha, Subhransu Maji, Rui Wang
3D Shape Induction from 2D Views of Multiple Objects. 3DV (2017)
Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. CoRR (2017)
Matheus Gadelha, Subhransu Maji, Rui Wang
Shape Generation using Spatially Partitioned Point Clouds. BMVC (2017)
Matheus Gadelha, Subhransu Maji, Rui Wang
3D Shape Induction from 2D Views of Multiple Objects. CoRR (2016)