Matthias Nießner

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Technische Universität München

Professor for Computer Science at the Technical University of Munich, heading the Visual Computing Lab, Visiting Assistant professor at Stanford University from 2013-2017.

Catching Out-of-Context Misinformation with Self-supervised Learning

Despite the recent attention to DeepFakes and other forms of image manip...
01/15/2021 ∙ by Shivangi Aneja, et al. ∙ 14 ∙ share

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SceneFormer: Indoor Scene Generation with Transformers

The task of indoor scene generation is to generate a sequence of objects...
12/17/2020 ∙ by Xinpeng Wang, et al. ∙ 0 ∙ share

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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts

The rapid progress in 3D scene understanding has come with growing deman...
12/16/2020 ∙ by Ji Hou, et al. ∙ 10 ∙ share

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Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences

Multi-object tracking from RGB-D video sequences is a challenging proble...
12/15/2020 ∙ by Norman Müller, et al. ∙ 0 ∙ share

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Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos

We address the task of aligning CAD models to a video sequence of a comp...
12/08/2020 ∙ by Kevis-Kokitsi Maninis, et al. ∙ 13 ∙ share

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Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

We present dynamic neural radiance fields for modeling the appearance an...
12/05/2020 ∙ by Guy Gafni, et al. ∙ 35 ∙ share

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ID-Reveal: Identity-aware DeepFake Video Detection

State-of-the-art DeepFake forgery detectors are trained in a supervised ...
12/04/2020 ∙ by Davide Cozzolino, et al. ∙ 0 ∙ share

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Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

We introduce Neural Deformation Graphs for globally-consistent deformati...
12/02/2020 ∙ by Aljaž Božič, et al. ∙ 0 ∙ share

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RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

Semantic scene understanding from point clouds is particularly challengi...
11/30/2020 ∙ by Yinyu Nie, et al. ∙ 0 ∙ share

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Face2Face: Real-time Face Capture and Reenactment of RGB Videos

We present Face2Face, a novel approach for real-time facial reenactment ...
07/29/2020 ∙ by Justus Thies, et al. ∙ 6 ∙ share

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Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

Neural rendering techniques promise efficient photo-realistic image synt...
06/29/2020 ∙ by Hassan Abu Alhaija, et al. ∙ 10 ∙ share

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SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

We present SPSG, a novel approach to generate high-quality, colored 3D m...
06/25/2020 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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Neural Non-Rigid Tracking

We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
06/23/2020 ∙ by Aljaž Božič, et al. ∙ 0 ∙ share

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Generalized Zero and Few-Shot Transfer for Facial Forgery Detection

We propose Deep Distribution Transfer(DDT), a new transfer learning appr...
06/21/2020 ∙ by Shivangi Aneja, et al. ∙ 18 ∙ share

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State of the Art on Neural Rendering

Efficient rendering of photo-realistic virtual worlds is a long standing...
04/08/2020 ∙ by Ayush Tewari, et al. ∙ 13 ∙ share

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3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

We present 3D-MPA, a method for instance segmentation on 3D point clouds...
03/30/2020 ∙ by Francis Engelmann, et al. ∙ 3 ∙ share

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SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans

We present a novel approach to reconstructing lightweight, CAD-based rep...
03/27/2020 ∙ by Armen Avetisyan, et al. ∙ 6 ∙ share

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Modeling 3D Shapes by Reinforcement Learning

We explore how to enable machines to model 3D shapes like human modelers...
03/27/2020 ∙ by Cheng Lin, et al. ∙ 23 ∙ share

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Local Implicit Grid Representations for 3D Scenes

Shape priors learned from data are commonly used to reconstruct 3D objec...
03/19/2020 ∙ by Chiyu "Max" Jiang, et al. ∙ 44 ∙ share

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Adversarial Texture Optimization from RGB-D Scans

Realistic color texture generation is an important step in RGB-D surface...
03/18/2020 ∙ by Jingwei Huang, et al. ∙ 7 ∙ share

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ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

We introduce the new task of 3D object localization in RGB-D scans using...
12/18/2019 ∙ by Dave Zhenyu Chen, et al. ∙ 23 ∙ share

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Neural Voice Puppetry: Audio-driven Facial Reenactment

We present Neural Voice Puppetry, a novel approach for audio-driven faci...
12/11/2019 ∙ by Justus Thies, et al. ∙ 11 ∙ share

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DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

Applying data-driven approaches to non-rigid 3D reconstruction has been ...
12/09/2019 ∙ by Aljaž Božič, et al. ∙ 18 ∙ share

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SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

We present a novel approach that converts partial and noisy RGB-D scans ...
11/29/2019 ∙ by Angela Dai, et al. ∙ 20 ∙ share

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SpoC: Spoofing Camera Fingerprints

Thanks to the fast progress in synthetic media generation, creating real...
11/27/2019 ∙ by Davide Cozzolino, et al. ∙ 28 ∙ share

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ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation

We propose ViewAL, a novel active learning strategy for semantic segment...
11/26/2019 ∙ by Yawar Siddiqui, et al. ∙ 13 ∙ share

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Joint Embedding of 3D Scan and CAD Objects

3D scan geometry and CAD models often contain complementary information ...
08/19/2019 ∙ by Manuel Dahnert, et al. ∙ 3 ∙ share

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RIO: 3D Object Instance Re-Localization in Changing Indoor Environments

In this work, we introduce the task of 3D object instance re-localizatio...
08/16/2019 ∙ by Johanna Wald, et al. ∙ 1 ∙ share

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Active Scene Understanding via Online Semantic Reconstruction

We propose a novel approach to robot-operated active understanding of un...
06/18/2019 ∙ by Lintao Zheng, et al. ∙ 6 ∙ share

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End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans

We present a novel, end-to-end approach to align CAD models to an 3D sca...
06/10/2019 ∙ by Armen Avetisyan, et al. ∙ 3 ∙ share

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Deferred Neural Rendering: Image Synthesis using Neural Textures

The modern computer graphics pipeline can synthesize images at remarkabl...
04/28/2019 ∙ by Justus Thies, et al. ∙ 6 ∙ share

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3D-SIC: 3D Semantic Instance Completion for RGB-D Scans

This paper focuses on the task of semantic instance completion: from an ...
04/26/2019 ∙ by Ji Hou, et al. ∙ 6 ∙ share

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Inverse Path Tracing for Joint Material and Lighting Estimation

Modern computer vision algorithms have brought significant advancement t...
03/17/2019 ∙ by Dejan Azinović, et al. ∙ 2 ∙ share

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Linear Inequality Constraints for Neural Network Activations

We propose a method to impose linear inequality constraints on neural ne...
02/05/2019 ∙ by Thomas Frerix, et al. ∙ 10 ∙ share

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DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals

We present a Deep Differentiable Simplex Layer (DDSL) for neural network...
01/30/2019 ∙ by Chiyu "Max" Jiang, et al. ∙ 8 ∙ share

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FaceForensics++: Learning to Detect Manipulated Facial Images

The rapid progress in synthetic image generation and manipulation has no...
01/25/2019 ∙ by Andreas Rössler, et al. ∙ 18 ∙ share

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NRMVS: Non-Rigid Multi-View Stereo

Scene reconstruction from unorganized RGB images is an important task in...
01/12/2019 ∙ by Matthias Innmann, et al. ∙ 16 ∙ share

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Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation

Convolutional Neural Networks (CNN) have been successful in processing d...
01/07/2019 ∙ by Chiyu "Max" Jiang, et al. ∙ 8 ∙ share

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Spherical CNNs on Unstructured Grids

We present an efficient convolution kernel for Convolutional Neural Netw...
01/07/2019 ∙ by Chiyu "Max" Jiang, et al. ∙ 14 ∙ share

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RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration

Direct image-to-image alignment that relies on the optimization of photo...
12/26/2018 ∙ by Lei Han, et al. ∙ 6 ∙ share

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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

We introduce 3D-SIS, a novel neural network architecture for 3D semantic...
12/17/2018 ∙ by Ji Hou, et al. ∙ 18 ∙ share

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ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Distinguishing fakes from real images is becoming increasingly difficult...
12/06/2018 ∙ by Davide Cozzolino, et al. ∙ 2 ∙ share

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DeepVoxels: Learning Persistent 3D Feature Embeddings

In this work, we address the lack of 3D understanding of generative neur...
12/03/2018 ∙ by Vincent Sitzmann, et al. ∙ 0 ∙ share

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TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

We introduce, TextureNet, a neural network architecture designed to extr...
11/30/2018 ∙ by Jingwei Huang, et al. ∙ 0 ∙ share

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Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

We present Scan2CAD, a novel data-driven method that learns to align cle...
11/27/2018 ∙ by Armen Avetisyan, et al. ∙ 8 ∙ share

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IGNOR: Image-guided Neural Object Rendering

We propose a new learning-based novel view synthesis approach for scanne...
11/26/2018 ∙ by Justus Thies, et al. ∙ 2 ∙ share

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Scan2Mesh: From Unstructured Range Scans to 3D Meshes

We introduce Scan2Mesh, a novel data-driven generative approach which tr...
11/26/2018 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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Parsing Geometry Using Structure-Aware Shape Templates

Real-life man-made objects often exhibit strong and easily-identifiable ...
08/03/2018 ∙ by Vignesh Ganapathi-Subramanian, et al. ∙ 10 ∙ share

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HeadOn: Real-time Reenactment of Human Portrait Videos

We propose HeadOn, the first real-time source-to-target reenactment appr...
05/29/2018 ∙ by Justus Thies, et al. ∙ 0 ∙ share

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Deep Video Portraits

We present a novel approach that enables photo-realistic re-animation of...
05/29/2018 ∙ by Hyeongwoo Kim, et al. ∙ 2 ∙ share

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Matthias Nießner

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