Matthias Nießner

Matthias Nießner

Technische Universität München

H-index: 69

Europe-Germany

About Matthias Nießner

Matthias Nießner, With an exceptional h-index of 69 and a recent h-index of 65 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Graphics, Computer Vision, Artificial Intelligence, Machine Learning.

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

DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping

Diffcomplete: Diffusion-based generative 3d shape completion

Viewdiff: 3d-consistent image generation with text-to-image models

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

Triplanenet: An encoder for eg3d inversion

Dit-3d: Exploring plain diffusion transformers for 3d shape generation

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Matthias Nießner Information

University

Position

Professor of Computer Science

Citations(all)

29709

Citations(since 2020)

26364

Cited By

10788

hIndex(all)

69

hIndex(since 2020)

65

i10Index(all)

155

i10Index(since 2020)

143

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Matthias Nießner Skills & Research Interests

Computer Graphics

Computer Vision

Artificial Intelligence

Machine Learning

Top articles of Matthias Nießner

Title

Journal

Author(s)

Publication Date

DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping

arXiv preprint arXiv:2403.17550

Kutay Yılmaz

Matthias Nießner

Anastasiia Kornilova

Alexey Artemov

2024/3/26

Diffcomplete: Diffusion-based generative 3d shape completion

Advances in Neural Information Processing Systems

Ruihang Chu

Enze Xie

Shentong Mo

Zhenguo Li

Matthias Nießner

...

2024/2/13

Viewdiff: 3d-consistent image generation with text-to-image models

arXiv preprint arXiv:2403.01807

Lukas Höllein

Aljaž Božič

Norman Müller

David Novotny

Hung-Yu Tseng

...

2024/3/4

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

arXiv preprint arXiv:2401.06614

Wei Cao

Chang Luo

Biao Zhang

Matthias Nießner

Jiapeng Tang

2024/1/12

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

arXiv preprint arXiv:2403.16318

Cedric Perauer

Laurenz Adrian Heidrich

Haifan Zhang

Matthias Nießner

Anastasiia Kornilova

...

2024/3/24

Triplanenet: An encoder for eg3d inversion

Ananta R Bhattarai

Matthias Nießner

Artem Sevastopolsky

2024

Dit-3d: Exploring plain diffusion transformers for 3d shape generation

Advances in Neural Information Processing Systems

Shentong Mo

Enze Xie

Ruihang Chu

Lanqing Hong

Matthias Niessner

...

2024/2/13

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

arXiv preprint arXiv:2403.19319

Yujin Chen

Yinyu Nie

Benjamin Ummenhofer

Reiner Birkl

Michael Paulitsch

...

2024/3/28

LightIt: Illumination Modeling and Control for Diffusion Models

arXiv preprint arXiv:2403.10615

Peter Kocsis

Julien Philip

Kalyan Sunkavalli

Matthias Nießner

Yannick Hold-Geoffroy

2024/3/15

Mask3d: Pre-training 2d vision transformers by learning masked 3d priors

Ji Hou

Xiaoliang Dai

Zijian He

Angela Dai

Matthias Nießner

2023

Cad-estate: Large-scale cad model annotation in rgb videos

Kevis-Kokitsi Maninis

Stefan Popov

Matthias Nießner

Vittorio Ferrari

2023

Estimating Generic 3D Room Structures from 2D Annotations

arXiv preprint arXiv:2306.09077

Denys Rozumnyi

Stefan Popov

Kevis-Kokitsi Maninis

Matthias Nießner

Vittorio Ferrari

2023/6/15

Ganerf: Leveraging discriminators to optimize neural radiance fields

ACM Transactions on Graphics (TOG)

Barbara Roessle

Norman Müller

Lorenzo Porzi

Samuel Rota Bulò

Peter Kontschieder

...

2023/12/4

Scenetex: High-quality texture synthesis for indoor scenes via diffusion priors

arXiv preprint arXiv:2311.17261

Dave Zhenyu Chen

Haoxuan Li

Hsin-Ying Lee

Sergey Tulyakov

Matthias Nießner

2023/11/28

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models

arXiv preprint arXiv:2312.11417

Antonio Alliegro

Yawar Siddiqui

Tatiana Tommasi

Matthias Nießner

2023/12/18

Nersemble: Multi-view radiance field reconstruction of human heads

ACM Transactions on Graphics (TOG)

Tobias Kirschstein

Shenhan Qian

Simon Giebenhain

Tim Walter

Matthias Nießner

2023/8/1

Meshgpt: Generating triangle meshes with decoder-only transformers

arXiv preprint arXiv:2311.15475

Yawar Siddiqui

Antonio Alliegro

Alexey Artemov

Tatiana Tommasi

Daniele Sirigatti

...

2023/11/27

Diffrf: Rendering-guided 3d radiance field diffusion

Norman Müller

Yawar Siddiqui

Lorenzo Porzi

Samuel Rota Bulo

Peter Kontschieder

...

2023

Panoptic lifting for 3d scene understanding with neural fields

Yawar Siddiqui

Lorenzo Porzi

Samuel Rota Buló

Norman Müller

Matthias Nießner

...

2023

High-res facial appearance capture from polarized smartphone images

Dejan Azinović

Olivier Maury

Christophe Hery

Matthias Nießner

Justus Thies

2023

See List of Professors in Matthias Nießner University(Technische Universität München)