Niessner, Matthias

52 publications

ECCV 2024 Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Niessner, Zhenguo Li

ECCV 2024 Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Niessner

ECCV 2024 Zero-Shot Detection of AI-Generated Images Davide Cozzolino, GIovanni Poggi, Matthias Niessner, Luisa Verdoliva

NeurIPS 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Niessner, Zhenguo Li

NeurIPS 2023 DiffComplete: Diffusion-Based Generative 3D Shape Completion Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Niessner, Chi-Wing Fu, Jiaya Jia

NeurIPS 2023 Estimating Generic 3D Room Structures from 2D Annotations Denys Rozumnyi, Stefan Popov, Kevis-kokitsi Maninis, Matthias Niessner, Vittorio Ferrari

NeurIPS 2022 3DILG: Irregular Latent Grids for 3D Generative Modeling Biao Zhang, Matthias Niessner, Peter Wonka

NeurIPS 2022 Neural Shape Deformation Priors Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Niessner

NeurIPS 2022 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes Peter Kocsis, Peter Súkeník, Guillem Braso, Matthias Niessner, Laura Leal-Taixé, Ismail Elezi

CVPR 2021 Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction Guy Gafni, Justus Thies, Michael Zollhofer, Matthias Niessner

CVPR 2021 Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts Ji Hou, Benjamin Graham, Matthias Niessner, Saining Xie

CVPR 2021 Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction Aljaz Bozic, Pablo Palafox, Michael Zollhofer, Justus Thies, Angela Dai, Matthias Niessner

NeurIPS 2021 Panoptic 3D Scene Reconstruction from a Single RGB Image Manuel Dahnert, Ji Hou, Matthias Niessner, Angela Dai

CVPR 2021 RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Niessner

CVPR 2021 SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Niessner

CVPR 2021 Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans Zhenyu Chen, Ali Gholami, Matthias Niessner, Angel X. Chang

CVPR 2021 Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences Norman Muller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Niessner

NeurIPS 2021 TransformerFusion: Monocular RGB Scene Reconstruction Using Transformers Aljaz Bozic, Pablo Palafox, Justus Thies, Angela Dai, Matthias Niessner

CVPR 2020 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Niessner

CVPR 2020 Adversarial Texture Optimization from RGB-D Scans Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu "Max" Jiang, Leonidas J. Guibas, Matthias Niessner, Thomas Funkhouser

ECCV 2020 CAD-Deform: Deformable Fitting of CAD Models to 3D Scans Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niessner, Denis Zorin, Evgeny Burnaev

CVPR 2020 DeepDeform: Learning Non-Rigid RGB-D Reconstruction with Semi-Supervised Data Aljaz Bozic, Michael Zollhofer, Christian Theobalt, Matthias Niessner

CVPR 2020 Learning to Optimize Non-Rigid Tracking Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Niessner

CVPR 2020 Local Implicit Grid Representations for 3D Scenes Chiyu "Max" Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Niessner, Thomas Funkhouser

WACV 2020 NRMVS: Non-Rigid Multi-View Stereo Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Niessner, Charles Loop, Marc Stamminger, Jan Kautz

NeurIPS 2020 Neural Non-Rigid Tracking Aljaz Bozic, Pablo Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Niessner

CVPR 2020 RevealNet: Seeing Behind Objects in RGB-D Scans Ji Hou, Angela Dai, Matthias Niessner

CVPR 2020 SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans Angela Dai, Christian Diller, Matthias Niessner

CVPR 2020 ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation Yawar Siddiqui, Julien Valentin, Matthias Niessner

CVPR 2019 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans Ji Hou, Angela Dai, Matthias Niessner

ICLR 2019 Convolutional Neural Networks on Non-Uniform Geometrical Signals Using Euclidean Spectral Transformation Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Niessner

ICCV 2019 DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals Chiyu "Max" Jiang, Dana Lansigan, Philip Marcus, Matthias Niessner

CVPR 2019 DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Niessner, Gordon Wetzstein, Michael Zollhofer

ICCV 2019 End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans Armen Avetisyan, Angela Dai, Matthias Niessner

ICCV 2019 FaceForensics++: Learning to Detect Manipulated Facial Images Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Niessner

CVPR 2019 Inverse Path Tracing for Joint Material and Lighting Estimation Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Niessner

ICCV 2019 Joint Embedding of 3D Scan and CAD Objects Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Niessner

ICCV 2019 RIO: 3D Object Instance Re-Localization in Changing Indoor Environments Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Niessner

CVPR 2019 Scan2CAD: Learning CAD Model Alignment in RGB-D Scans Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Niessner

CVPR 2019 Scan2Mesh: From Unstructured Range Scans to 3D Meshes Angela Dai, Matthias Niessner

ICLR 2019 Spherical CNNs on Unstructured Grids Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niessner

CVPR 2019 TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, Leonidas J. Guibas

ECCV 2018 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation Angela Dai, Matthias Niessner

ECCV 2018 PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, Thomas Funkhouser

CVPR 2017 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions Andy Zeng, Shuran Song, Matthias Niessner, Matthew Fisher, Jianxiong Xiao, Thomas Funkhouser

ICCV 2017 A Lightweight Approach for On-the-Fly Reflectance Estimation Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Niessner, Jan Kautz

ICCV 2017 Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Niessner

CVPR 2017 ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Niessner

CVPR 2017 Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis Angela Dai, Charles Ruizhongtai Qi, Matthias Niessner

CVPR 2016 Face2Face: Real-Time Face Capture and Reenactment of RGB Videos Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, Matthias Niessner

CVPR 2016 Volumetric and Multi-View CNNs for Object Classification on 3D Data Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas

CVPR 2015 Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization Julien Valentin, Matthias Niessner, Jamie Shotton, Andrew Fitzgibbon, Shahram Izadi, Philip H. S. Torr