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ORCIDMatthias Nießner
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- affiliation: Technical University of Munich, Germany
- affiliation (former): Stanford University
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2020 – today
- 2023
[j43]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): 1320-1327 (2023)- [j42]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): 1464-1501 (2023) - [j41]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): 92:1-92:16 (2023) - [j40]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): 160:1-160:12 (2023) - [j39]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. ACM Trans. Graph. 42(4): 161:1-161:14 (2023) - [c112]Shivangi Aneja, Chris Bregler, Matthias Nießner:
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. AAAI 2023: 14084-14092 - [c111]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CVPR 2023: 792-802 - [c110]Davide Cozzolino, Alessandro Pianese, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CVPR Workshops 2023: 943-952 - [c109]Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CVPR 2023: 4328-4338 - [c108]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: 9043-9052 - [c107]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CVPR 2023: 13082-13091 - [c106]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR 2023: 13510-13519 - [c105]Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. CVPR 2023: 16836-16846 - [c104]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CVPR 2023: 21003-21012 - [c103]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. SIGGRAPH (Conference Paper Track) 2023: 70:1-70:11 - [i138]Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. CoRR abs/2301.11445 (2023) - [i137]Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner:
S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR abs/2302.03640 (2023) - [i136]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR abs/2302.14746 (2023) - [i135]Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. CoRR abs/2303.11396 (2023) - [i134]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR abs/2303.11989 (2023) - [i133]Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky:
TriPlaneNet: An Encoder for EG3D Inversion. CoRR abs/2303.13497 (2023) - [i132]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 abs/2303.14207 (2023) - [i131]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. CoRR abs/2303.17015 (2023) - [i130]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. CoRR abs/2305.03027 (2023) - [i129]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 abs/2305.06356 (2023) - [i128]Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. CoRR abs/2306.06044 (2023) - [i127]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023) - [i126]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023) - [i125]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i124]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 abs/2307.01831 (2023) - [i123]Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. CoRR abs/2308.11417 (2023) - [i122]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 abs/2310.07204 (2023) - [i121]Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen:
Generating Context-Aware Natural Answers for Questions in 3D Scenes. CoRR abs/2310.19516 (2023) - [i120]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 abs/2311.15475 (2023) - [i119]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR abs/2311.17261 (2023) - [i118]Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov:
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR abs/2311.18494 (2023) - [i117]Tobias Kirschstein, Simon Giebenhain, Matthias Nießner:
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CoRR abs/2311.18635 (2023) - 2022
- [j38]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): 703-735 (2022) - [c102]Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. CVPR Workshops 2022: 61-70 - [c101]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CVPR 2022: 3961-3970 - [c100]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CVPR 2022: 4012-4021 - [c99]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR 2022: 6188-6198 - [c98]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CVPR 2022: 6280-6291 - [c97]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: 12882-12891 - [c96]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - [c95]Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. ECCV (14) 2022: 58-75 - [c94]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. ECCV (3) 2022: 72-88 - [c93]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. ECCV (27) 2022: 425-443 - [c92]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. ECCV (3) 2022: 485-502 - [c91]Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. ECCV (32) 2022: 487-505 - [c90]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. ECCV (32) 2022: 543-560 - [c89]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: 665-680 - [c88]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 - [c87]Biao Zhang, Matthias Nießner, Peter Wonka:
3DILG: Irregular Latent Grids for 3D Generative Modeling. NeurIPS 2022 - [c86]Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner:
Neural Shape Deformation Priors. NeurIPS 2022 - [c85]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. SIGGRAPH Asia 2022: 11:1-11:9 - [i116]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR abs/2203.03949 (2022) - [i115]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. CoRR abs/2203.17178 (2022) - [i114]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. CoRR abs/2204.02411 (2022) - [i113]Davide Cozzolino, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CoRR abs/2204.03083 (2022) - [i112]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CoRR abs/2204.03593 (2022) - [i111]Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. CoRR abs/2204.04513 (2022) - [i110]Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching using Differentiable Pose Optimization. CoRR abs/2205.01694 (2022) - [i109]Biao Zhang, Matthias Nießner, Peter Wonka:
3DILG: Irregular Latent Grids for 3D Generative Modeling. CoRR abs/2205.13914 (2022) - [i108]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 abs/2205.15285 (2022) - [i107]Dominik Schmauser, Zeju Qiu, Norman Müller, Matthias Nießner:
3D Multi-Object Tracking with Differentiable Pose Estimation. CoRR abs/2206.13785 (2022) - [i106]Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner:
Neural Shape Deformation Priors. CoRR abs/2210.05616 (2022) - [i105]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR abs/2210.05657 (2022) - [i104]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? CoRR abs/2210.10090 (2022) - [i103]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CoRR abs/2211.14157 (2022) - [i102]Angela Dai, Matthias Nießner:
Neural Poisson: Indicator Functions for Neural Fields. CoRR abs/2211.14249 (2022) - [i101]Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. CoRR abs/2212.00836 (2022) - [i100]Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. CoRR abs/2212.01160 (2022) - [i99]Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CoRR abs/2212.01206 (2022) - [i98]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. CoRR abs/2212.01406 (2022) - [i97]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CoRR abs/2212.01985 (2022) - [i96]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CoRR abs/2212.02761 (2022) - [i95]Abdullah Hamdi, Bernard Ghanem, Matthias Nießner:
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. CoRR abs/2212.09100 (2022) - [i94]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 abs/2212.09802 (2022) - 2021
- [j37]Yu-Shiang Wong, Changjian Li, Matthias Nießner, Niloy J. Mitra:
RigidFusion: RGB-D Scene Reconstruction with Rigidly-moving Objects. Comput. Graph. Forum 40(2): 511-522 (2021) - [j36]Michael Mara, Felix Heide, Michael Zollhöfer, Matthias Nießner, Pat Hanrahan:
Thallo - Scheduling for High-Performance Large-Scale Non-Linear Least-Squares Solvers. ACM Trans. Graph. 40(5): 184:1-184:14 (2021) - [c84]Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner:
SceneFormer: Indoor Scene Generation with Transformers. 3DV 2021: 106-115 - [c83]Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. AAAI 2021: 9799-9807 - [c82]Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. CVPR Workshops 2021: 990-1000 - [c81]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction. CVPR 2021: 1450-1459 - [c80]Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner:
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans. CVPR 2021: 1747-1756 - [c79]Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang:
Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans. CVPR 2021: 3193-3203 - [c78]Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. CVPR 2021: 4608-4618 - [c77]Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. CVPR 2021: 6071-6080 - [c76]Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. CVPR 2021: 8649-8658 - [c75]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. CVPR 2021: 15587-15597 - [c74]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021: 5673-5682 - [c73]Andrei Burov, Matthias Nießner, Justus Thies:
Dynamic Surface Function Networks for Clothed Human Bodies. ICCV 2021: 10734-10744 - [c72]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. ICCV 2021: 12548-12557 - [c71]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. ICCV 2021: 12675-12685 - [c70]Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner:
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. ICCV 2021: 12686-12696 - [c69]Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. ICCV 2021: 15088-15097 - [c68]Matthias Nießner:
Why Neural Rendering Amazing. IMPROVE 2021: 5 - [c67]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. NeurIPS 2021: 1403-1414 - [c66]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. NeurIPS 2021: 8282-8293 - [c65]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer:
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [i93]Shivangi Aneja, Christoph Bregler, Matthias Nießner:
Catching Out-of-Context Misinformation with Self-supervised Learning. CoRR abs/2101.06278 (2021) - [i92]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. CoRR abs/2104.00024 (2021) - [i91]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. CoRR abs/2104.00702 (2021) - [i90]Andrei Burov, Matthias Nießner, Justus Thies:
Dynamic Surface Function Networks for Clothed Human Bodies. CoRR abs/2104.03978 (2021) - [i89]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CoRR abs/2104.04532 (2021) - [i88]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR abs/2104.11225 (2021) - [i87]Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner:
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. CoRR abs/2105.01905 (2021) - [i86]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. CoRR abs/2107.02191 (2021) - [i85]Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt:
Egocentric Videoconferencing. CoRR abs/2107.03109 (2021) - [i84]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler:
MMSys'21 Grand Challenge on Detecting Cheapfakes. CoRR abs/2107.05297 (2021) - [i83]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. CoRR abs/2111.02444 (2021) - [i82]Ayush Tewari,