Matheus Gadelha

66 papers A* 13A 1Journal 41Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Space as a Scratchpad for Editable Text-to-Image Generation. CoRR Oindrila Saha, Vojtech Krs, Radomír Mech, Subhransu Maji, Matheus Gadelha, Kevin Blackburn-Matzen
2026	J	`jnl`	Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured Meshes. CoRR Umangi Jain, Vladimir G. Kim, Matheus Gadelha, Igor Gilitschenski, Zhiqin Chen
2026	J	`jnl`	Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models. CoRR Fadlullah Raji, Stefano Petrangeli, Matheus Gadelha, Yu Shen, Uttaran Bhattacharya, Gang Wu
2026	J	`jnl`	Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal. CoRR Rio Aguina-Kang, Kevin Blackburn-Matzen, Thibault Groueix, Vladimir G. Kim, Matheus Gadelha
2025	—	`conf`	3D-Fixup: Advancing Photo Editing with 3D Priors. SIGGRAPH (Conference Paper Track) Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025	J	`jnl`	3D-Fixup: Advancing Photo Editing with 3D Priors. CoRR Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liangyan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025	—	`conf`	Authoring 2.5D Designs with Depth Estimation. CHI Extended Abstracts Xia Su, Cuong Nguyen, Matheus Gadelha, Yu Shen, Stefano Petrangeli, Jon E. Froehlich
2025	J	`jnl`	Frame In-N-Out: Unbounded Controllable Image-to-Video Generation. CoRR Boyang Wang, Xuweiyi Chen, Matheus Gadelha, Zezhou Cheng
2025	J	`jnl`	GimbalDiffusion: Gravity-Aware Camera Control for Video Generation. CoRR Frédéric Fortier-Chouinard, Yannick Hold-Geoffroy, Valentin Deschaintre, Matheus Gadelha, Jean-François Lalonde
2025	A*	`conf`	Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. CVPR Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix
2025	J	`jnl`	MeshSplatting: Differentiable Rendering with Opaque Meshes. CoRR Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2025	A*	`conf`	Motion Modes: What Could Happen Next? CVPR Karran Pandey, Yannick Hold-Geoffroy, Matheus Gadelha, Niloy J. Mitra, Karan Singh, Paul Guerrero
2025	A*	`conf`	PreciseCam: Precise Camera Control for Text-to-Image Generation. CVPR Edurne Bernal-Berdun, Ana Serrano, Belén Masiá, Matheus Gadelha, Yannick Hold-Geoffroy, Xin Sun, Diego Gutierrez
2025	J	`jnl`	PreciseCam: Precise Camera Control for Text-to-Image Generation. CoRR Edurne Bernal-Berdun, Ana Serrano, Belén Masiá, Matheus Gadelha, Yannick Hold-Geoffroy, Xin Sun, Diego Gutierrez
2025	J	`jnl`	Residual Primitive Fitting of 3D Shapes with SuperFrusta. CoRR Aditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen, Siddhartha Chaudhuri, Vladimir G. Kim, Wang Yifan, Daniel Ritchie
2025	J	`jnl`	Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets. CoRR Dale Decatur, Thibault Groueix, Wang Yifan, Rana Hanocka, Vladimir G. Kim, Matheus Gadelha
2025	J	`jnl`	SIGMA-GEN: Structure and Identity Guided Multi-subject Assembly for Image Generation. CoRR Oindrila Saha, Vojtech Krs, Radomír Mech, Subhransu Maji, Kevin Blackburn-Matzen, Matheus Gadelha
2025	J	`jnl`	Triangle Splatting+: Differentiable Rendering with Opaque Triangles. CoRR Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2024	J	`jnl`	ANISE: Assembly-Based Neural Implicit Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis
2024	J	`jnl`	DMesh++: An Efficient Differentiable Mesh for Complex Shapes. CoRR Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou
2024	A*	`conf`	DMesh: A Differentiable Mesh Representation. NeurIPS Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024	J	`jnl`	DMesh: A Differentiable Representation for General Meshes. CoRR Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024	A*	`conf`	Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. CVPR Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra
2024	—	`conf`	GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2024	J	`jnl`	GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2024	A*	`conf`	Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. CVPR Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein
2024	J	`jnl`	Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. CoRR Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix
2024	A*	`conf`	Learning Continuous 3D Words for Text-to-Image Generation. CVPR Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni
2024	J	`jnl`	Learning Continuous 3D Words for Text-to-Image Generation. CoRR Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni
2024	J	`jnl`	Motion Modes: What Could Happen Next? CoRR Karran Pandey, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra, Paul Guerrero
2024	A*	`conf`	Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. SIGGRAPH Asia Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
2024	J	`jnl`	Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
2023	A*	`conf`	3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. ICCV Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni
2023	J	`jnl`	3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. CoRR Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni
2023	—	`conf`	Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) Zezhou Cheng, Matheus Gadelha, Subhransu Maji
2023	J	`jnl`	Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. CoRR Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra
2023	J	`jnl`	Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. CoRR Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein
2022	J	`jnl`	ANISE: Assembly-based Neural Implicit Surface rEconstruction. CoRR Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis
2022	J	`jnl`	Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR Zezhou Cheng, Matheus Gadelha, Subhransu Maji
2022	J	`jnl`	Leveraging Monocular Disparity Estimation for Single-View Reconstruction. CoRR Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech
2022	J	`jnl`	PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos. CoRR Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang
2022	A*	`conf`	PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. CVPR Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang
2022	J	`jnl`	PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum Gopal Sharma, Bidya Dash, Aruni Roy Chowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik G. Learned-Miller, Subhransu Maji, Evangelos Kalogerakis
2021	—	`conf`	Deep Manifold Prior. ICCVW Matheus Gadelha, Rui Wang, Subhransu Maji
2021	J	`jnl`	SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2021	—	`conf`	Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications. AIVR Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan
2020	J	`jnl`	Deep Manifold Prior. CoRR Matheus Gadelha, Rui Wang, Subhransu Maji
2020	J	`jnl`	Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
2020	—	`conf`	Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2020	J	`jnl`	Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji
2020	A*	`conf`	Learning Generative Models of Shape Handles. CVPR Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
2020	J	`jnl`	Learning Generative Models of Shape Handles. CoRR Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
2019	A*	`conf`	A Bayesian Perspective on the Deep Image Prior. CVPR Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
2019	J	`jnl`	A Bayesian Perspective on the Deep Image Prior. CoRR Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
2019	J	`jnl`	Inferring 3D Shapes from Image Collections using Adversarial Networks. CoRR Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
2019	A*	`conf`	Shape Reconstruction Using Differentiable Projections and Deep Priors. ICCV Matheus Gadelha, Rui Wang, Subhransu Maji
2018	—	`conf`	A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
2018	J	`jnl`	A Deeper Look at 3D Shape Classifiers. CoRR Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
2018	—	`conf`	Multiresolution Tree Networks for 3D Point Cloud Processing. ECCV (7) Matheus Gadelha, Rui Wang, Subhransu Maji
2018	J	`jnl`	Multiresolution Tree Networks for 3D Point Cloud Processing. CoRR Matheus Gadelha, Rui Wang, Subhransu Maji
2017	—	`conf`	3D Shape Induction from 2D Views of Multiple Objects. 3DV Matheus Gadelha, Subhransu Maji, Rui Wang
2017	—	`conf`	3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. 3DV Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang
2017	J	`jnl`	3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. CoRR Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, Rui Wang
2017	A	`conf`	Shape Generation using Spatially Partitioned Point Clouds. BMVC Matheus Gadelha, Subhransu Maji, Rui Wang
2017	J	`jnl`	Shape Generation using Spatially Partitioned Point Clouds. CoRR Matheus Gadelha, Subhransu Maji, Rui Wang
2016	J	`jnl`	3D Shape Induction from 2D Views of Multiple Objects. CoRR Matheus Gadelha, Subhransu Maji, Rui Wang