Matthias Nießner
Most Recent Affiliation(s):
- Stanford University, Technical University of Munich, Microsoft Research, University of Erlangen-Nuremberg
Other Affiliation(s):
- Technical University of Munich
Experience(s):
Learning Presentation(s):
![3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Zhang_3DShape2VecSet-A-3D-Shape-Representation-for-Neural-Fields-and-Generative-Diffusion-Models-150x150.jpg)
Type: [Technical Papers]
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Presenter(s): [Zhang] [Tang] [Nießner] [Wonka]
[SIGGRAPH 2023]
![HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Isik_HumanRF-High-Fidelity-Neural-Radiance-Fields-for-Humans-in-Motion-150x150.jpg)
Type: [Technical Papers]
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion Presenter(s): [Işık] [Rünz] [Georgopoulos] [Khakhulin] [Starck] [Agapito] [Nießner]
[SIGGRAPH 2023]
![NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Kirschstein_NeRSemble-Multi-view-Radiance-Field-Reconstruction-of-Human-Heads-150x150.jpg)
Type: [Technical Papers]
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads Presenter(s): [Kirschstein] [Qian] [Giebenhain] [Walter] [Nießner]
[SIGGRAPH 2023]
![FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality](https://history.siggraph.org/wp-content/uploads/2022/07/2018-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality Presenter(s): [Thies] [Zollhöfer] [Stamminger] [Theobalt] [Nießner]
[SIGGRAPH 2018]
![BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface Reintegration](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Dai_BundleFusion-Real-Time-Globally-Consistent-3D-Reconstruction-Using-On-the-Fly-Surface-Reintegration-150x150.jpg)
Type: [Technical Papers]
BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface Reintegration Presenter(s): [Dai] [Nießner] [Zollhöfer] [Izadi] [Theobalt]
[SIGGRAPH 2017]
![Efficient GPU rendering of subdivision surfaces using adaptive quadtrees](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Brainerd_Efficient-GPU-Rendering-of-Subdivision-Surfaces-using-Adaptive-Quadtrees-150x150.jpg)
Type: [Technical Papers]
Efficient GPU rendering of subdivision surfaces using adaptive quadtrees Presenter(s): [Brainerd] [Foley] [Kraemer] [Moreton] [Nießner]
[SIGGRAPH 2016]
![PiGraphs: learning interaction snapshots from observations](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Savva_PiGraphs-Learning-Interaction-Snapshots-from-Observations-150x150.jpg)
Type: [Technical Papers]
PiGraphs: learning interaction snapshots from observations Presenter(s): [Savva] [Chang] [Hanrahan] [Fisher] [Nießner]
[SIGGRAPH 2016]
![ProxImaL: efficient image optimization using proximal algorithms](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Kovalsky_Accelerated-Quadratic-Proxy-for-Geometric-Optimization-1-150x150.jpg)
Type: [Technical Papers]
ProxImaL: efficient image optimization using proximal algorithms Presenter(s): [Heide] [Diamond] [Nießner] [Ragan-Kelley] [Heidrich] [Wetzstein]
[SIGGRAPH 2016]
![SemanticPaint: Interactive Segmentation and Learning of 3D World](https://history.siggraph.org/wp-content/uploads/2022/03/2015-ETech-22-Golodetz_SemanticPaint-01-150x150.jpg)
Type: [Talks (Sketches)]
SemanticPaint: Interactive Segmentation and Learning of 3D World Presenter(s): [Valentin] [Vineet] [Cheng] [Kim] [Shotton] [Kohli] [Nießner] [Criminisi] [Izadi] [Torr]
Entry No.: [77]
[SIGGRAPH 2015]
![Shading-based refinement on volumetric signed distance functions](https://history.siggraph.org/wp-content/uploads/2023/04/2015-Technical-Papers-Zollhofer_Shading-based-Refinement-on-Volumetric-Signed-Distance-Functions-150x150.jpg)
Type: [Technical Papers]
Shading-based refinement on volumetric signed distance functions Presenter(s): [Zollhöfer] [Dai] [Innmann] [Wu] [Stamminger] [Theobalt] [Nießner]
[SIGGRAPH 2015]
![Real-time non-rigid reconstruction using an RGB-D camera](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Zollhofer_Real-time-Non-rigid-Reconstruction-using-an-RGB-D-Camera-150x150.jpg)
Type: [Technical Papers]
Real-time non-rigid reconstruction using an RGB-D camera Presenter(s): [Zollhöfer] [Nießner] [Izadi] [Rehmann] [Zach] [Fisher] [Wu] [Fitzgibbon] [Loop] [Theobalt] [Stamminger]
[SIGGRAPH 2014]
![Analytic Displacement Mapping Using Hardware Tessellation](https://history.siggraph.org/wp-content/uploads/2022/07/2013-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Analytic Displacement Mapping Using Hardware Tessellation Presenter(s): [Nießner] [Loop]
[SIGGRAPH 2013]
Role(s):
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