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of 58
pro vyhledávání: '"Rhemann, Christoph"'
Autor:
Qiu, Di, Zhang, Yinda, Beeler, Thabo, Tankovich, Vladimir, Häne, Christian, Fanello, Sean, Rhemann, Christoph, Escolano, Sergio Orts
We propose CHOSEN, a simple yet flexible, robust and effective multi-view depth refinement framework. It can be employed in any existing multi-view stereo pipeline, with straightforward generalization capability for different multi-view capture syste
Externí odkaz:
http://arxiv.org/abs/2404.02225
Autor:
Sun, Tiancheng, Xu, Zexiang, Zhang, Xiuming, Fanello, Sean, Rhemann, Christoph, Debevec, Paul, Tsai, Yun-Ta, Barron, Jonathan T., Ramamoorthi, Ravi
The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subject under different light sources, one obtains the light transport mat
Externí odkaz:
http://arxiv.org/abs/2010.08888
Autor:
Zhang, Xiuming, Fanello, Sean, Tsai, Yun-Ta, Sun, Tiancheng, Xue, Tianfan, Pandey, Rohit, Orts-Escolano, Sergio, Davidson, Philip, Rhemann, Christoph, Debevec, Paul, Barron, Jonathan T., Ramamoorthi, Ravi, Freeman, William T.
The light transport (LT) of a scene describes how it appears under different lighting and viewing directions, and complete knowledge of a scene's LT enables the synthesis of novel views under arbitrary lighting. In this paper, we focus on image-based
Externí odkaz:
http://arxiv.org/abs/2008.03806
Autor:
LeGendre, Chloe, Ma, Wan-Chun, Pandey, Rohit, Fanello, Sean, Rhemann, Christoph, Dourgarian, Jason, Busch, Jay, Debevec, Paul
We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbitrary indoor or outdoor lighting conditions. We train our model using
Externí odkaz:
http://arxiv.org/abs/2008.02396
Autor:
Sun, Tiancheng, Barron, Jonathan T., Tsai, Yun-Ta, Xu, Zexiang, Yu, Xueming, Fyffe, Graham, Rhemann, Christoph, Busch, Jay, Debevec, Paul, Ramamoorthi, Ravi
Publikováno v:
ACM Transactions on Graphics (SIGGRAPH 2019) 38 (4)
Lighting plays a central role in conveying the essence and depth of the subject in a portrait photograph. Professional photographers will carefully control the lighting in their studio to manipulate the appearance of their subject, while consumer pho
Externí odkaz:
http://arxiv.org/abs/1905.00824
Autor:
Martin-Brualla, Ricardo, Pandey, Rohit, Yang, Shuoran, Pidlypenskyi, Pavel, Taylor, Jonathan, Valentin, Julien, Khamis, Sameh, Davidson, Philip, Tkach, Anastasia, Lincoln, Peter, Kowdle, Adarsh, Rhemann, Christoph, Goldman, Dan B, Keskin, Cem, Seitz, Steve, Izadi, Shahram, Fanello, Sean
Motivated by augmented and virtual reality applications such as telepresence, there has been a recent focus in real-time performance capture of humans under motion. However, given the real-time constraint, these systems often suffer from artifacts in
Externí odkaz:
http://arxiv.org/abs/1811.05029
Autor:
Khamis, Sameh, Fanello, Sean, Rhemann, Christoph, Kowdle, Adarsh, Valentin, Julien, Izadi, Shahram
This paper presents StereoNet, the first end-to-end deep architecture for real-time stereo matching that runs at 60 fps on an NVidia Titan X, producing high-quality, edge-preserved, quantization-free disparity maps. A key insight of this paper is tha
Externí odkaz:
http://arxiv.org/abs/1807.08865
Autor:
Zhang, Yinda, Khamis, Sameh, Rhemann, Christoph, Valentin, Julien, Kowdle, Adarsh, Tankovich, Vladimir, Schoenberg, Michael, Izadi, Shahram, Funkhouser, Thomas, Fanello, Sean
In this paper we present ActiveStereoNet, the first deep learning solution for active stereo systems. Due to the lack of ground truth, our method is fully self-supervised, yet it produces precise depth with a subpixel precision of $1/30th$ of a pixel
Externí odkaz:
http://arxiv.org/abs/1807.06009
Autor:
Naik, Nikhil, Kadambi, Achuta, Rhemann, Christoph, Izadi, Shahram, Raskar, Ramesh, Kang, Sing Bing
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obtained from TOF cameras contain scene dependent errors due to multipath
Externí odkaz:
http://arxiv.org/abs/1501.04878
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