Matheus Gadelha

About Matheus Gadelha

Matheus Gadelha, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Computer Graphics, Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generating shadows for placed objects in depth estimated scenes of two-dimensional images

DMesh: A Differentiable Representation for General Meshes

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis

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

Reconstructing three-dimensional models of objects from real images based on depth information

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

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

Generative shape creation and editing

Matheus Gadelha Information

University

Position

___

Citations(all)

1214

Citations(since 2020)

1129

Cited By

443

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Matheus Gadelha Skills & Research Interests

Computer Graphics

Computer Vision

Machine Learning

Top articles of Matheus Gadelha

Generating shadows for placed objects in depth estimated scenes of two-dimensional images

2024/4/25

DMesh: A Differentiable Representation for General Meshes

arXiv preprint arXiv:2404.13445

2024/4/20

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis

arXiv preprint arXiv:2402.16994

2024/2/26

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

arXiv preprint arXiv:2402.08654

2024/2/13

Reconstructing three-dimensional models of objects from real images based on depth information

2024/2/13

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

2024

Matheus Gadelha
Matheus Gadelha

H-Index: 7

Gordon Wetzstein
Gordon Wetzstein

H-Index: 43

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

arXiv preprint arXiv:2312.02190

2023/12/2

Matheus Gadelha
Matheus Gadelha

H-Index: 7

Karan Singh
Karan Singh

H-Index: 4

Generative shape creation and editing

2023/9/26

Modeling shapes using differentiable signed distance functions

2023/8/31

ANISE: Assembly-based Neural Implicit Surface rEconstruction

IEEE Transactions on Visualization and Computer Graphics

2023/4/6

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

2023

Accidental Turntables: Learning 3D Pose by Watching Objects Turn

2023

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

Computer Graphics Forum

2022/8

Recovering Detail in 3D Shapes Using Disparity Maps

arXiv preprint arXiv:2207.00182

2022/7/1

Planarrecon: Real-time 3d plane detection and reconstruction from posed monocular videos

2022

Trace match & merge: Long-term field-of-view prediction for ar applications

2021/11/15

Sahil Sharma
Sahil Sharma

H-Index: 4

Matheus Gadelha
Matheus Gadelha

H-Index: 7

3D Shape Understanding and Generation

2021

Matheus Gadelha
Matheus Gadelha

H-Index: 7

Deep manifold prior

2021

Inferring 3D shapes from image collections using adversarial networks

International Journal of Computer Vision

2020/11

Learning generative models of shape handles

2020

See List of Professors in Matheus Gadelha University(University of Massachusetts Amherst)

Co-Authors

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