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Matthias Zwicker

30 papers · 2017–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (14) πŸ† Keyword Champion (3) πŸ† Grand Slam 🧬 Topic Evolution πŸ”¬ Deep Specialist (18) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (128)

Venues

CVPR (8) ICCV (5) AAAI (4) ECCV (4) ICML (2) IJCAI (2) NeurIPS (2) WACV (2) ICLR (1)

Top co-authors

Zhizhong Han (14) Yu-Shen Liu (11) Tom Goldstein (4) Allen Tu (4) Alex Hanson (4) Tiziano Portenier (3) Geng Lin (3) Tao Hu (3) Paolo Favaro (3) Xiyang Wang (3)

Research topics

Computer Vision (23) Deep Learning (20) Analysis (19) Machine Learning (17) Learning Types Β· Deep Learning (9) Architectures (8) Generation (8) Learning Types Β· Machine Learning (7) Core Methods (6) Models (5) Processing (5) Artificial Intelligence (4) Computer Science (4) Application Areas (4) Applications (4)

Keywords

point cloud (5) 3d reconstruction (4) multi-view learning (4) differentiable rendering (3) signed distance function (3) 3d shape analysis (3) attention mechanism (3) 3d gaussian splatting (3) rendering speed (3) single-view reconstruction (2) 3d shape (2) model compression (2) feature learning (2) novel view synthesis (2) unsupervised learning (2) recurrent neural network (2) surface reconstruction (2) 3d point cloud (2) point cloud generation (1) bayesian inference (1)

Papers

SpeeDe3DGS: Speedy Deformable 3D Gaussian Splatting with Temporal Pruning and Motion Grouping CVPR 2026 SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting CVPR 2026 How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings ICLR 2025 PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025 SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting ICCV 2025 Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives CVPR 2025 OmnimatteRF: Robust Omnimatte with 3D Background Modeling ICCV 2023 PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters CVPR 2023 Improving the Perceptual Quality of 2D Animation Interpolation ECCV 2022 Surface Reconstruction From Point Clouds by Learning Predictive Context Priors CVPR 2022 Transfer Learning for Pose Estimation of Illustrated Characters WACV 2022 EgoRenderer: Rendering Human Avatars From Egocentric Camera Images ICCV 2021 Learning to Generate Dense Point Clouds With Textures on Multiple Categories WACV 2021 Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ICML 2021 PatchGame: Learning to Signal Mid-level Patches in Referential Games NeurIPS 2021 Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching ICCV 2021 3D Shape Completion with Multi-View Consistent Inference AAAI 2020 DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images ICML 2020 SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR 2020 SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates ECCV 2020 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention IJCAI 2019 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 Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views IJCAI 2019 Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019 Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences AAAI 2019 Disentangling Factors of Variation by Mixing Them CVPR 2018 Specular-to-Diffuse Translation for Multi-View Reconstruction ECCV 2018 Understanding Degeneracies and Ambiguities in Attribute Transfer ECCV 2018 Deep Mean-Shift Priors for Image Restoration NeurIPS 2017