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ORCIDMatthias Zwicker
Person information
- affiliation: University of Maryland, College Park, MD, USA
- affiliation (former): University of Bern, Switzerland
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2020 – today
- 2024
[j61]Siavash Arjomand Bigdeli
, Geng Lin, L. Andrea Dunbar, Tiziano Portenier, Matthias Zwicker:
Learning Generative Models Using Denoising Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17730-17741 (2024)- [j60]Jonathan Heagerty, Sida Li, Eric Lee, Shuvra S. Bhattacharyya, Sujal Bista, Barbara Brawn, Brandon Y. Feng, Susmija Jabbireddy, Joseph F. JáJá, Hernisa Kacorri, David Li, Derek Yarnell, Matthias Zwicker, Amitabh Varshney:
HoloCamera: Advanced Volumetric Capture for Cinematic-Quality VR Applications. IEEE Trans. Vis. Comput. Graph. 30(5): 2767-2775 (2024) - [j59]Tao Hu, Hongyi Xu, Linjie Luo, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker:
HVTR++: Image and Pose Driven Human Avatars Using Hybrid Volumetric-Textural Rendering. IEEE Trans. Vis. Comput. Graph. 30(8): 5478-5492 (2024) - [c75]Shuhong Chen, Matthias Zwicker:
Match-Free Inbetweening Assistant (MIBA): A Practical Animation Tool Without User Stroke Correspondence. ACCV (6) 2024: 89-103 - [c74]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. ACM Multimedia 2024: 10248-10257 - [c73]Peihan Tu, Li-Yi Wei, Matthias Zwicker:
Compositional Neural Textures. SIGGRAPH Asia 2024: 61:1-61:11 - [i51]Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta:
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering. CoRR abs/2403.15651 (2024) - [i50]Peihan Tu, Li-Yi Wei, Matthias Zwicker:
Compositional Neural Textures. CoRR abs/2404.12509 (2024) - [i49]Alex Hanson, Allen Tu, Vasu Singla, Mayuka Jayawardhana, Matthias Zwicker, Tom Goldstein:
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting. CoRR abs/2406.10219 (2024) - [i48]Srinidhi Hegde, Kaur Kullman, Thomas Grubb, Leslie Lait, Stephen Guimond, Matthias Zwicker:
NARVis: Neural Accelerated Rendering for Real-Time Scientific Point Cloud Visualization. CoRR abs/2407.19097 (2024) - [i47]Alex Hanson, Allen Tu, Geng Lin, Vasu Singla, Matthias Zwicker, Tom Goldstein:
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives. CoRR abs/2412.00578 (2024) - 2023
- [c72]Saeed Hadadan, Matthias Zwicker:
Neural Differential Radiance Field: Learning the Differential Space Using a Neural Network. CGI (1) 2023: 93-104 - [c71]Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker:
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. CVPR 2023: 21068-21077 - [c70]Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf:
OmnimatteRF: Robust Omnimatte with 3D Background Modeling. ICCV 2023: 23414-23423 - [c69]Thomas Grubb, Kaur Kullman, Thomas Clune, Leslie Lait, Matthias Zwicker, Stephen Guimond, Ruth West, Roger Eastman, Ian Afflerbach, Don Engel:
Using XR for Improving Scientific Discovery with Numerical Weather Models. IGARSS 2023: 1537-1540 - [c68]Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker:
Inverse Global Illumination using a Neural Radiometric Prior. SIGGRAPH (Conference Paper Track) 2023: 17:1-17:11 - [i46]Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker:
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. CoRR abs/2303.14587 (2023) - [i45]Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker:
Inverse Global Illumination using a Neural Radiometric Prior. CoRR abs/2305.02192 (2023) - [i44]Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf:
OmnimatteRF: Robust Omnimatte with 3D Background Modeling. CoRR abs/2309.07749 (2023) - 2022
- [j58]Peihan Tu, Li-Yi Wei, Matthias Zwicker:
Clustered vector textures. ACM Trans. Graph. 41(4): 159:1-159:23 (2022) - [c67]Tao Hu, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker:
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars. 3DV 2022: 197-208 - [c66]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CVPR 2022: 6316-6327 - [c65]Shuhong Chen, Matthias Zwicker:
Improving the Perceptual Quality of 2D Animation Interpolation. ECCV (17) 2022: 271-287 - [c64]Shuhong Chen, Matthias Zwicker:
Transfer Learning for Pose Estimation of Illustrated Characters. WACV 2022: 1638-1647 - [i43]Saeed Hadadan, Matthias Zwicker:
Differentiable Neural Radiosity. CoRR abs/2201.13190 (2022) - [i42]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR abs/2204.11015 (2022) - 2021
- [j57]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30: 1744-1758 (2021) - [j56]Saeed Hadadan, Shuhong Chen, Matthias Zwicker:
Neural radiosity. ACM Trans. Graph. 40(6): 236:1-236:11 (2021) - [j55]Suiyun Zhang, Zhizhong Han, Yu-Kun Lai, Matthias Zwicker, Hui Zhang:
Active Arrangement of Small Objects in 3D Indoor Scenes. IEEE Trans. Vis. Comput. Graph. 27(4): 2250-2264 (2021) - [c63]Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. ICCV 2021: 12446-12457 - [c62]Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt:
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images. ICCV 2021: 14508-14518 - [c61]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. ICML 2021: 7246-7257 - [c60]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. ACM Multimedia 2021: 3862-3871 - [c59]Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Yasanga Jayasundara Magalle Hewa, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. NeurIPS 2021: 26015-26027 - [c58]Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker:
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. WACV 2021: 2169-2178 - [i41]Saeed Hadadan, Shuhong Chen, Matthias Zwicker:
Neural Radiosity. CoRR abs/2105.12319 (2021) - [i40]Shuhong Chen, Matthias Zwicker:
Transfer Learning for Pose Estimation of Illustrated Characters. CoRR abs/2108.01819 (2021) - [i39]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. CoRR abs/2108.03743 (2021) - [i38]Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. CoRR abs/2108.03746 (2021) - [i37]Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. CoRR abs/2111.01785 (2021) - [i36]Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt:
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images. CoRR abs/2111.12685 (2021) - [i35]Shuhong Chen, Matthias Zwicker:
Improving the Perceptual Quality of 2D Animation Interpolation. CoRR abs/2111.12792 (2021) - [i34]Tao Hu, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker:
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars. CoRR abs/2112.10203 (2021) - 2020
- [j54]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Comput. Aided Geom. Des. 79: 101859 (2020) - [j53]Zhizhong Han, Baorui Ma, Yu-Shen Liu, Matthias Zwicker:
Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. IEEE Trans. Image Process. 29: 8721-8734 (2020) - [j52]Peihan Tu, Li-Yi Wei, Koji Yatani, Takeo Igarashi, Matthias Zwicker:
Continuous curve textures. ACM Trans. Graph. 39(6): 168:1-168:16 (2020) - [j51]Quan Zheng, Vahid Babaei, Gordon Wetzstein, Hans-Peter Seidel, Matthias Zwicker, Gurprit Singh:
Neural light field 3D printing. ACM Trans. Graph. 39(6): 207:1-207:12 (2020) - [c57]Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. 3DV 2020: 71-80 - [c56]Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-View Consistent Inference. AAAI 2020: 10997-11004 - [c55]Yue Jiang, Wolfgang Stuerzlinger, Matthias Zwicker, Christof Lutteroth:
ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints. CHI 2020: 1-14 - [c54]Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. CVPR 2020: 1248-1258 - [c53]Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker:
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. ECCV (24) 2020: 607-625 - [c52]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. ICML 2020: 3994-4005 - [c51]Qiyang Hu, Adrian Wälchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Learning to Take Directions One Step at a Time. ICPR 2020: 739-746 - [c50]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. ACM Multimedia 2020: 1018-1027 - [c49]Xiaoxu Meng, Quan Zheng, Amitabh Varshney, Gurprit Singh, Matthias Zwicker:
Real-time Monte Carlo Denoising with the Neural Bilateral Grid. EGSR (DL) 2020: 13-24 - [i33]Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker:
Learning Generative Models using Denoising Density Estimators. CoRR abs/2001.02728 (2020) - [i32]Yue Jiang, Wolfgang Stuerzlinger, Matthias Zwicker, Christof Lutteroth:
ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints. CoRR abs/2002.09925 (2020) - [i31]Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker:
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates. CoRR abs/2003.05559 (2020) - [i30]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. CoRR abs/2003.08240 (2020) - [i29]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR abs/2005.12541 (2020) - [i28]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. CoRR abs/2007.06127 (2020) - [i27]Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. CoRR abs/2009.03298 (2020) - [i26]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. CoRR abs/2011.13495 (2020) - [i25]Peihan Tu, Li-Yi Wei, Koji Yatani, Takeo Igarashi, Matthias Zwicker:
Continuous Curve Textures. CoRR abs/2012.07959 (2020)
2010 – 2019
- 2019
- [j50]Quan Zheng, Matthias Zwicker:
Learning to Importance Sample in Primary Sample Space. Comput. Graph. Forum 38(2): 169-179 (2019) - [j49]Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann, Toshiya Hachisuka:
A Survey on Gradient-Domain Rendering. Comput. Graph. Forum 38(2): 455-472 (2019) - [j48]Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen:
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. IEEE Trans. Image Process. 28(2): 658-672 (2019) - [j47]Zhizhong Han, Honglei Lu, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen:
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. IEEE Trans. Image Process. 28(8): 3986-3999 (2019) - [j46]Suiyun Zhang, Zhizhong Han, Yu-Kun Lai, Matthias Zwicker, Hui Zhang:
Stylistic scene enhancement GAN: mixed stylistic enhancement generation for 3D indoor scenes. Vis. Comput. 35(6-8): 1157-1169 (2019) - [c48]Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. AAAI 2019: 126-133 - [c47]Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. AAAI 2019: 8376-8384 - [c46]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. AAAI 2019: 8778-8785 - [c45]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. ICCV 2019: 10441-10450 - [c44]Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. ICCV Workshops 2019: 4114-4122 - [c43]Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. IJCAI 2019: 758-765 - [c42]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI 2019: 766-773 - [c41]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. ACM Multimedia 2019: 989-997 - [i24]Ryen Krusinga, Sohil Shah, Matthias Zwicker, Tom Goldstein, David W. Jacobs:
Understanding the (un)interpretability of natural image distributions using generative models. CoRR abs/1901.01499 (2019) - [i23]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
Smart, Deep Copy-Paste. CoRR abs/1903.06763 (2019) - [i22]Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion. CoRR abs/1904.08366 (2019) - [i21]Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. CoRR abs/1905.07503 (2019) - [i20]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR abs/1905.07506 (2019) - [i19]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. CoRR abs/1907.12704 (2019) - [i18]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. CoRR abs/1908.00120 (2019) - [i17]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. CoRR abs/1908.00720 (2019) - [i16]Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-view Consistent Inference. CoRR abs/1911.12465 (2019) - [i15]Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. CoRR abs/1912.07109 (2019) - [i14]Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker:
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. CoRR abs/1912.10545 (2019) - 2018
- [j45]Peter Bertholet, Alexandru Eugen Ichim, Matthias Zwicker:
Temporally Consistent Motion Segmentation From RGB-D Video. Comput. Graph. Forum 37(6): 118-134 (2018) - [j44]Xiaoxu Meng, Ruofei Du, Matthias Zwicker, Amitabh Varshney:
Kernel Foveated Rendering. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 5:1-5:20 (2018) - [j43]Shihao Wu, Peter Bertholet, Hui Huang, Daniel Cohen-Or, Minglun Gong, Matthias Zwicker:
Structure-Aware Data Consolidation. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2529-2537 (2018) - [j42]Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker:
Faceshop: deep sketch-based face image editing. ACM Trans. Graph. 37(4): 99 (2018) - [j41]Xuequan Lu, Shihao Wu, Honghua Chen, Sai-Kit Yeung, Wenzhi Chen, Matthias Zwicker:
GPF: GMM-Inspired Feature-Preserving Point Set Filtering. IEEE Trans. Vis. Comput. Graph. 24(8): 2315-2326 (2018) - [c40]Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker:
Disentangling Factors of Variation by Mixing Them. CVPR 2018: 3399-3407 - [c39]Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker:
Specular-to-Diffuse Translation for Multi-view Reconstruction. ECCV (4) 2018: 193-211 - [c38]Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Understanding Degeneracies and Ambiguities in Attribute Transfer. ECCV (5) 2018: 721-736 - [c37]Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Challenges in Disentangling Independent Factors of Variation. ICLR (Workshop) 2018 - [c36]Siavash Arjomand Bigdeli, Matthias Zwicker:
Image Restoration using Autoencoding Priors. VISIGRAPP (5: VISAPP) 2018: 33-44 - [c35]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
Fine-Grained Retrieval with Autoencoders. VISIGRAPP (5: VISAPP) 2018: 85-95 - [i13]Tiziano Portenier, Qiyang Hu, Attila Szabó, Siavash Arjomand Bigdeli, Paolo Favaro, Matthias Zwicker:
FaceShop: Deep Sketch-based Face Image Editing. CoRR abs/1804.08972 (2018) - [i12]Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker:
Specular-to-Diffuse Translation for Multi-View Reconstruction. CoRR abs/1807.05439 (2018) - [i11]Quan Zheng, Matthias Zwicker:
Learning to Importance Sample in Primary Sample Space. CoRR abs/1808.07840 (2018) - [i10]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. CoRR abs/1811.02565 (2018) - [i9]Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. CoRR abs/1811.02744 (2018) - [i8]Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. CoRR abs/1811.02745 (2018) - [i7]Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Video Synthesis from a Single Image and Motion Stroke. CoRR abs/1812.01874 (2018) - 2017
- [c34]Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro, Meiguang Jin:
Deep Mean-Shift Priors for Image Restoration. NIPS 2017: 763-772 - [c33]Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking. SBIM@Expressive 2017: 1:1-1:12 - [e5]Matthias Zwicker, Pedro V. Sander:
28th Eurographics Symposium on Rendering, Rendering - Experimental Ideas & Implementations, EGSR 2017, EI&I Track, Helsinki, Finland, 19-21 June 2017. Eurographics Association 2017 [contents] - [i6]Siavash Arjomand Bigdeli, Matthias Zwicker:
Image Restoration using Autoencoding Priors. CoRR abs/1703.09964 (2017) - [i5]Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro, Matthias Zwicker:
Deep Mean-Shift Priors for Image Restoration. CoRR abs/1709.03749 (2017) - [i4]Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Challenges in Disentangling Independent Factors of Variation. CoRR abs/1711.02245 (2017) - [i3]