Matthias Zwicker
28 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π Conference Polyglot (9) π Academic Marathon (8) π£ Hot Topic Early Bird π Renaissance Researcher (5)
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Interdisciplinary Bridge
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Taxonomy Completionist
(42)
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Conference Polyglot
(9)
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Grand Slam
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Topic Evolution
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Dynamic Duo
(14)
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Deep Specialist
(17)
ποΈ
Keyword Collector
(117)
β‘
Prolific Year
(6)
π
Conference Pioneer
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Trend Setter
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Century Club
(28)
π₯
Unstoppable
(7)
Conferences
CVPR (6)
ICCV (5)
AAAI (4)
ECCV (4)
ICML (2)
IJCAI (2)
NIPS (2)
WACV (2)
ICLR (1)
Top co-authors
Keywords
point cloud
(5)
3d reconstruction
(4)
multi-view learning
(4)
signed distance function
(3)
3d shape analysis
(3)
differentiable rendering
(3)
attention mechanism
(3)
model compression
(2)
feature learning
(2)
rendering speed
(2)
unsupervised learning
(2)
3d point cloud
(2)
recurrent neural network
(2)
single-view reconstruction
(2)
surface reconstruction
(2)
3d gaussian splatting
(2)
3d shape
(2)
self-supervised learning
(1)
point cloud generation
(1)
bayesian inference
(1)
Papers
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
ICLR 2025
SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting
ICCV 2025
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
CVPR 2025
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
CVPR 2025
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters
CVPR 2023
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
ICCV 2023
Transfer Learning for Pose Estimation of Illustrated Characters
WACV 2022
Improving the Perceptual Quality of 2D Animation Interpolation
ECCV 2022
Surface Reconstruction From Point Clouds by Learning Predictive Context Priors
CVPR 2022
EgoRenderer: Rendering Human Avatars From Egocentric Camera Images
ICCV 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NIPS 2021
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
ICML 2021
Learning to Generate Dense Point Clouds With Textures on Multiple Categories
WACV 2021
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching
ICCV 2021
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
ECCV 2020
3D Shape Completion with Multi-View Consistent Inference
AAAI 2020
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
CVPR 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
ICML 2020
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
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
AAAI 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention
IJCAI 2019
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views
IJCAI 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
Understanding Degeneracies and Ambiguities in Attribute Transfer
ECCV 2018
Specular-to-Diffuse Translation for Multi-View Reconstruction
ECCV 2018
Disentangling Factors of Variation by Mixing Them
CVPR 2018
Deep Mean-Shift Priors for Image Restoration
NIPS 2017