Matthias Nießner

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 301

Top Venues

University of Erlangen-Nuremberg (PHD)

Education History

University of Erlangen-Nuremberg

PHD

Publications

Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43 (2) (2024)
Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking. CoRR (2024)
Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. CoRR (2024)
Kutay Yilmaz, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov
DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. CoRR (2024)
Norman Müller, Katja Schwarz, Barbara Roessle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder
MultiDiff: Consistent Novel View Synthesis from a Single Image. CoRR (2024)
Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner
NPGA: Neural Parametric Gaussian Avatars. CoRR (2024)
Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. CoRR (2024)
Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky
TriPlaneNet: An Encoder for EG3D Inversion. WACV (2024)
Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR (2024)
Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias Nießner, Yannick Hold-Geoffroy
LightIt: Illumination Modeling and Control for Diffusion Models. CoRR (2024)
Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. CoRR (2024)
Tobias Kirschstein, Simon Giebenhain, Jiapeng Tang, Markos Georgopoulos, Matthias Nießner
GGHead: Fast and Generalizable 3D Gaussian Heads. CoRR (2024)
Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR (2023)
Peter Kocsis, Vincent Sitzmann, Matthias Nießner
Intrinsic Image Diffusion for Single-view Material Estimation. CoRR (2023)
Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva
Raising the Bar of AI-generated Image Detection with CLIP. CoRR (2023)
Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR (2023)
Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111 (11) (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR (2023)
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS (2023)
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR (2023)
Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari
Estimating Generic 3D Room Structures from 2D Annotations. NeurIPS (2023)
Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. CoRR (2023)
Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner
S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR (2023)
Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking. CoRR (2023)
Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner
Learning Neural Parametric Head Models. CVPR (2023)
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CVPR (2023)
Tobias Kirschstein, Simon Giebenhain, Matthias Nießner
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CoRR (2023)
Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR (2023)
Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. ICCV (2023)
Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Trans. Graph. 42 (4) (2023)
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. ICCV (2023)
Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. ICCV (2023)
Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky
TriPlaneNet: An Encoder for EG3D Inversion. CoRR (2023)
Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. ACM Trans. Graph. 42 (6) (2023)
Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. ACM Trans. Graph. 42 (4) (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS (2023)
Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner
ClipFace: Text-guided Editing of Textured 3D Morphable Models. SIGGRAPH (Conference Paper Track) (2023)
Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. CoRR (2023)
Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies
High-Res Facial Appearance Capture from Polarized Smartphone Images. CVPR (2023)
Antonio Alliegro, Yawar Siddiqui, Tatiana Tommasi, Matthias Nießner
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models. CoRR (2023)
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CVPR (2023)
Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR (2023)
Shivangi Aneja, Chris Bregler, Matthias Nießner
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. AAAI (2023)
Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari
Estimating Generic 3D Room Structures from 2D Annotations. CoRR (2023)
Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. CoRR (2023)
Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. ICCV (2023)
Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CoRR (2023)
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. CoRR (2023)
Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Nießner
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs. CoRR (2023)
Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen
Generating Context-Aware Natural Answers for Questions in 3D Scenes. BMVC (2023)
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV (2023)
Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR (2023)
Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner
How to Boost Face Recognition with StyleGAN? ICCV (2023)
Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. ACM Trans. Graph. 42 (4) (2023)
Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CoRR (2023)
Abdullah Hamdi, Bernard Ghanem, Matthias Nießner
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. ICCV (Workshops) (2023)
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. CoRR (2023)
Barbara Roessle, Matthias Nießner
End2End Multi-View Feature Matching with Differentiable Pose Optimization. ICCV (2023)
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR (2023)
Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models. CoRR (2023)
Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen
Generating Context-Aware Natural Answers for Questions in 3D Scenes. CoRR (2023)
Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis. CoRR (2023)
Davide Cozzolino, Alessandro Pianese, Matthias Nießner, Luisa Verdoliva
Audio-Visual Person-of-Interest DeepFake Detection. CVPR Workshops (2023)
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. CoRR (2023)
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. ICCV (2023)
Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. CoRR (2023)
Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. CoRR (2023)
Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR (2023)
Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner
Learning 3D Scene Priors with 2D Supervision. CVPR (2023)
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. CoRR (2023)
Can Gümeli, Angela Dai, Matthias Nießner
ObjectMatch: Robust Registration using Canonical Object Correspondences. CVPR (2023)
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik
Advances in Neural Rendering. Comput. Graph. Forum 41 (2) (2022)
Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR (2022)
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CoRR (2022)
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
Texturify: Generating Textures on 3D Shape Surfaces. ECCV (3) (2022)
Dominik Schmauser, Zeju Qiu, Norman Müller, Matthias Nießner
3D Multi-Object Tracking with Differentiable Pose Estimation. CoRR (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS (2022)
Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner
Learning 3D Scene Priors with 2D Supervision. CoRR (2022)
Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner
ClipFace: Text-guided Editing of Textured 3D Morphable Models. CoRR (2022)
Angela Dai, Matthias Nießner
Neural Poisson: Indicator Functions for Neural Fields. CoRR (2022)
Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels. CoRR (2022)
Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies
Neural Head Avatars from Monocular RGB Videos. CVPR (2022)
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CoRR (2022)
Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner
Neural Shape Deformation Priors. NeurIPS (2022)
Shivangi Aneja, Lev Markhasin, Matthias Nießner
TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. ECCV (14) (2022)
Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves
3D Equivariant Graph Implicit Functions. ECCV (3) (2022)
Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. ECCV (31) (2022)
Barbara Roessle, Matthias Nießner
End2End Multi-View Feature Matching using Differentiable Pose Optimization. CoRR (2022)
Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CoRR (2022)
Biao Zhang, Matthias Nießner, Peter Wonka
3DILG: Irregular Latent Grids for 3D Generative Modeling. CoRR (2022)
Can Gümeli, Angela Dai, Matthias Nießner
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CVPR (2022)
Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves
3D Equivariant Graph Implicit Functions. CoRR (2022)
Yujin Chen, Matthias Nießner, Angela Dai
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. ECCV (32) (2022)
Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang
Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. ECCV (32) (2022)
Davide Cozzolino, Matthias Nießner, Luisa Verdoliva
Audio-Visual Person-of-Interest DeepFake Detection. CoRR (2022)
Biao Zhang, Matthias Nießner, Peter Wonka
3DILG: Irregular Latent Grids for 3D Generative Modeling. NeurIPS (2022)
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CVPR (2022)
Can Gümeli, Angela Dai, Matthias Nießner
ObjectMatch: Robust Registration using Canonical Object Correspondences. CoRR (2022)
Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato
On the Exploitation of Deepfake Model Recognition. CoRR (2022)

Matthias Nießner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Matthias Nießner