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NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors



Jiepeng Wang , Peng Wang , Xiaoxiao Long , Christian Theobalt , Taku Komura , Lingjie Liu , Wenping Wang


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Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions



Weilin Wan , Lei Yang , Lingjie Liu , Zhuoying Zhang , Ruixing Jia , Yi-King Choi , Jia Pan , Christian Theobalt , Taku Komura , Wenping Wang

* IEEE Robotics and Automation Letters ( Volume: 7, Issue: 2, April 2022) 

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EventNeRF: Neural Radiance Fields from a Single Colour Event Camera



Viktor Rudnev , Mohamed Elgharib , Christian Theobalt , Vladislav Golyanik

* 14 pages, 10 figures, 2 tables 

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GAN2X: Non-Lambertian Inverse Rendering of Image GANs



Xingang Pan , Ayush Tewari , Lingjie Liu , Christian Theobalt

* The video demo is available at the project page: https://people.mpi-inf.mpg.de/~xpan/GAN2X/ 

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Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model



Erik C. M. Johnson , Marc Habermann , Soshi Shimada , Vladislav Golyanik , Christian Theobalt

* 26 pages, 17 figures, 8 tables 

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Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data



Mengyu Chu , Lingjie Liu , Quan Zheng , Erik Franz , Hans-Peter Seidel , Christian Theobalt , Rhaleb Zayer

* ACM Trans. Graph.41, 4 (2022), 119:1-119:14 
* accepted to ACM Transactions On Graphics (SIGGRAPH 2022), further info:\url{https://people.mpi-inf.mpg.de/~mchu/projects/PI-NeRF/

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HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance



Soshi Shimada , Vladislav Golyanik , Zhi Li , Patrick Pérez , Weipeng Xu , Christian Theobalt


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BEHAVE: Dataset and Method for Tracking Human Object Interactions



Bharat Lal Bhatnagar , Xianghui Xie , Ilya A. Petrov , Cristian Sminchisescu , Christian Theobalt , Gerard Pons-Moll

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 
* Accepted at CVPR'22 

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Direct Dense Pose Estimation



Liqian Ma , Lingjie Liu , Christian Theobalt , Luc Van Gool

* Accepted to 3DV 2021. Project page http://charliememory.github.io/3DV21_DDP/ 

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