Publications (22)
MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques
Vanessa Wirth, Johanna Bräunig, Nikolai Hofmann +3
Utilizing the complementary strengths of wavelength-specific range or depth sensors is crucial for robust computer-assisted tasks such as autonomous driving. Despite this, there is…
Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency
Florian Hahlbohm, Fabian Friederichs, Tim Weyrich +6
3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence acros…
Monocular Reconstruction of Neural Face Reflectance Fields
Mallikarjun B R., Ayush Tewari, Tae-Hyun Oh +7
The reflectance field of a face describes the reflectance properties responsible for complex lighting effects including diffuse, specular, inter-reflection and self shadowing. Most…
Lite2Relight: 3D-aware Single Image Portrait Relighting
Pramod Rao, Gereon Fox, Abhimitra Meka +8
Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate…
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
Andrei-Timotei Ardelean, Tim Weyrich
We propose a novel method for Zero-Shot Anomaly Localization on textures. The task refers to identifying abnormal regions in an otherwise homogeneous image. To obtain a high-fideli…
Image-based remapping of spatially-varying material appearance
Alejandro Sztrajman, Jaroslav Krivanek, Alexander Wilkie +1
BRDF models are ubiquitous tools for the representation of material appearance. However, there is now an astonishingly large number of different models in practical use. Both a lac…
PhotoApp: Photorealistic Appearance Editing of Head Portraits
Mallikarjun B R, Ayush Tewari, Abdallah Dib +8
Photorealistic editing of portraits is a challenging task as humans are very sensitive to inconsistencies in faces. We present an approach for high-quality intuitive editing of the…
Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors
Vanessa Wirth, Johanna Bräunig, Danti Khouri +4
Despite an emerging interest in MIMO radar, the utilization of its complementary strengths in combination with optical depth sensors has so far been limited to far-field applicatio…
Quantized FCA: Efficient Zero-Shot Texture Anomaly Detection
Andrei-Timotei Ardelean, Patrick Rückbeil, Tim Weyrich
Zero-shot anomaly localization is a rising field in computer vision research, with important progress in recent years. This work focuses on the problem of detecting and localizing…
Progressive Refinement Imaging
Markus Kluge, Tim Weyrich, Andreas Kolb
This paper presents a novel technique for progressive online integration of uncalibrated image sequences with substantial geometric and/or photometric discrepancies into a single,…
MM-2FSK: Multimodal Frequency Shift Keying for Ultra-Efficient and Robust High-Resolution MIMO Radar Imaging
Vanessa Wirth, Johanna Bräunig, Martin Vossiek +2
Accurate reconstruction of static and rapidly moving targets demands three-dimensional imaging solutions with high temporal and spatial resolution. Radar sensors are a promising se…
Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by exploiting Ray Meta Data of a Radar Ray Tracing Simulator
Christian SchüÃler, Marcel Hoffmann, Vanessa Wirth +4
In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way…
Metameric Varifocal Holography
David R. Walton, Koray Kavaklı, Rafael Kuffner dos Anjos +6
Computer-Generated Holography (CGH) offers the potential for genuine, high-quality three-dimensional visuals. However, fulfilling this potential remains a practical challenge due t…
Learning on the Edge: Explicit Boundary Handling in CNNs
Carlo Innamorati, Tobias Ritschel, Tim Weyrich +1
Convolutional neural networks (CNNs) handle the case where filters extend beyond the image boundary using several heuristics, such as zero, repeat or mean padding. These schemes ar…
Neural BRDF Representation and Importance Sampling
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel +1
Controlled capture of real-world material appearance yields tabulated sets of highly realistic reflectance data. In practice, however, its high memory footprint requires compressin…
FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields
Lukas Meyer, Andrei-Timotei Ardelean, Tim Weyrich +1
We introduce FruitNeRF++, a novel fruit-counting approach that combines contrastive learning with neural radiance fields to count fruits from unstructured input photographs of orch…
Plausible Shading Decomposition For Layered Photo Retouching
Carlo Innamorati, Tobias Ritschel, Tim Weyrich +1
Photographers routinely compose multiple manipulated photos of the same scene (layers) into a single image, which is better than any individual photo could be alone. Similarly, 3D…
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean, Tim Weyrich
Anomaly detection and localization in images is a growing field in computer vision. In this area, a seemingly understudied problem is anomaly clustering, i.e., identifying and grou…
Example-Based Feature Painting on Textures
Andrei-Timotei Ardelean, Tim Weyrich
In this work, we propose a system that covers the complete workflow for achieving controlled authoring and editing of textures that present distinctive local characteristics. These…
Feature-Guided Diffusion for Non-Differentiable Inverse Rendering
Andrei-Timotei Ardelean, Michael Fischer, Tim Weyrich +1
Inverse rendering is traditionally solved via differentiable renderers and gradient descent, which requires substantial problem-specific engineering and is prone to getting stuck i…
3DPR: Single Image 3D Portrait Relight using Generative Priors
Pramod Rao, Abhimitra Meka, Xilong Zhou +11
Rendering novel, relit views of a human head, given a monocular portrait image as input, is an inherently underconstrained problem. The traditional graphics solution is to explicit…
Efficient Spatially Adaptive Convolution and Correlation
Thomas W. Mitchel, Benedict Brown, David Koller +3
Fast methods for convolution and correlation underlie a variety of applications in computer vision and graphics, including efficient filtering, analysis, and simulation. However, s…