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NeRD: Neural Reflectance Decomposition from Image Collections [article]

Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P.A. Lensch
2021 arXiv   pre-print
We propose a neural reflectance decomposition (NeRD) technique that uses physically-based rendering to decompose the scene into spatially varying BRDF material properties.  ...  We demonstrate the potential of the proposed approach with experiments on both synthetic and real datasets, where we are able to obtain high-quality relightable 3D assets from image collections.  ...  We call our approach "Neural Reflectance Decomposition" (NeRD) NeRD not only enables simultaneous relighting and view synthesis but also allows for a more flexible range of image acquisition settings  ... 
arXiv:2012.03918v4 fatcat:mueqzzmffncftkd2d73s5fwnya

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition [article]

Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P.A. Lensch
2021 arXiv   pre-print
We propose a novel reflectance decomposition network that can estimate shape, BRDF, and per-image illumination given a set of object images captured under varying illumination.  ...  Neural approaches such as NeRF have achieved remarkable success in view synthesis, but do not explicitly perform decomposition and instead operate exclusively on radiance (the product of reflectance and  ...  their image collections.  ... 
arXiv:2110.14373v1 fatcat:vg5s62ydwnffzivbyrqdu2g5tu

Extracting Triangular 3D Models, Materials, and Lighting From Images [article]

Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler
2022 arXiv   pre-print
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations.  ...  Unlike recent multi-view reconstruction approaches, which typically produce entangled 3D representations encoded in neural networks, we output triangle meshes with spatially-varying materials and environment  ...  Neural implicit representations leverage differentiable rendering to reconstruct 3D geometry with appearance from image collections [29, 45, 49] .  ... 
arXiv:2111.12503v3 fatcat:pnd3yiexwvcqlkgxbebcwadlki

Neural Radiance Fields for Outdoor Scene Relighting [article]

Viktor Rudnev and Mohamed Elgharib and William Smith and Lingjie Liu and Vladislav Golyanik and Christian Theobalt
2021 arXiv   pre-print
Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination  ...  To evaluate the proposed method, we collect a new benchmark dataset of several outdoor sites, where each site is photographed from multiple viewpoints and at different timings.  ...  Nerd: Neural re- traits. ACM Transactions on Graphics, 40(4), 2021. 2 flectance decomposition from image collections.  ... 
arXiv:2112.05140v1 fatcat:kgsqa4x73rcbziejajqkzrajqe

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer [article]

Wenzheng Chen and Joey Litalien and Jun Gao and Zian Wang and Clement Fuji Tsang and Sameh Khamis and Or Litany and Sanja Fidler
2021 arXiv   pre-print
and lighting prediction from a single image without requiring any ground-truth.  ...  We consider the challenging problem of predicting intrinsic object properties from a single image by exploiting differentiable renderers.  ...  Recent research on inverse graphics targets the ill-posed problem of jointly estimating geometry, reflectance and illumination from image observations using neural networks.  ... 
arXiv:2111.00140v1 fatcat:bdlbtkktm5hhha33mcnxv7bbh4

Neural Fields in Visual Computing and Beyond [article]

Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
2022 arXiv   pre-print
These methods, which we call neural fields, have seen successful application in the synthesis of 3D shapes and image, animation of human bodies, 3D reconstruction, and pose estimation.  ...  In Part I, we focus on techniques in neural fields by identifying common components of neural field methods, including different representations, architectures, forward mapping, and generalization methods  ...  Voronoi decomposition with neural radiance fields [RJY * 21].  ... 
arXiv:2111.11426v4 fatcat:yteqzbu6gvgdzobnfzuqohix2e

NeROIC: Neural Rendering of Objects from Online Image Collections [article]

Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, Sergey Tulyakov
2022
We present a novel method to acquire object representations from online image collections, capturing high-quality geometry and material properties of arbitrary objects from photographs with varying cameras  ...  Using a multi-stage approach extending neural radiance fields, we first infer the surface geometry and refine the coarsely estimated initial camera parameters, while leveraging coarse foreground object  ...  In this work, we propose NeROIC, a novel approach to Neural Rendering of objects from Online Image Collections.  ... 
doi:10.48550/arxiv.2201.02533 fatcat:ymyxxmpk2vfppfbzcuvhaozmda

Learning Representations of Social Media Users [article]

Adrian Benton
2018 arXiv   pre-print
In this thesis, we begin by showing how user representations can be learned from multiple types of user behavior on social media.  ...  Computer scientists consider the problem of inferring user representations more abstractly; how does one extract a stable user representation - effective for many downstream tasks - from a medium as noisy  ...  This setting reflects predicting the values for some states using data already available from other states.  ... 
arXiv:1812.00436v1 fatcat:qp2hf6f6nfe7djyjakkns36epq

Entity Retrieval and Text Mining for Online Reputation Monitoring [article]

Pedro Saleiro
2018 arXiv   pre-print
Thus, we need to obtain a value that reflects the general image of each political target in social media, for a given time period. To that end, we use sentiment aggregate functions.  ...  Or learning polarity specific word embeddings from tweets collected using emoticons [103] and directly incorporating the supervision from sentiment polarity in the loss functions of neural networks  ... 
arXiv:1801.07743v1 fatcat:f56lljaavnd6zm4vnngs2m3tga

Defining Antifragility and the application on Organisation Design

Edzo Botjes, Hans Mulder, Hans Nouwens
2020 Zenodo  
Resilience is the way how a system bounce back from impact by a stressor. Antifragile is the way a system improves by impact by a stressor.  ...  Images retrieved from Goodreads.com.  ...  Data collected Data collected from Expert Review -individuals The overall feedback from the one-on-one expert reviews was that the EAAL model sparked inspiration and was relevant to their individual  ... 
doi:10.5281/zenodo.3719388 fatcat:n6ni2iym6rh2fi54i6pgufjnxy

The People's Encyclopedia Under the Gaze of the Sages: A Systematic Review of Scholarly Research on Wikipedia

Chitu Okoli, Mohamad Mehdi, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
2012 Social Science Research Network  
Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives.  ...  We thank Richard Wong for his assistance in collecting author data. We thank Emilio J. Rodríguez-Posada (emijrp) for his model WikiPapers site, upon which much of WikiLit was based.  ...  This study was funded by the Social Sciences and Humanities Research Council of Canada; the Lundbeck Foundation Center for Integrated Molecular Brain Imaging (CIMBI); the Concordia University Aid to Scholarly  ... 
doi:10.2139/ssrn.2021326 fatcat:egbnz5qzcjbfbnzxlz75x4ktz4

Exploring food reward and biometrics in relation to food intake

Hanne Pedersen
2022
Biometric measures such as eye tracking, electrodermal activity and facial expressions may separately or collectively provide deeper insight into psychophysiological processes underlying food reward and  ...  The results from this cross-sectional study showed significant differences in visual attention towards foods varying in fat content and taste prior to making rapid food choice decisions.  ...  Koch for their help with data collection. Moreover, a great appreciation to all the participants, who contributed with their time and cooperation in the study. Conflicts of  ... 
doi:10.21996/15n6-9088 fatcat:r7upmrvs7rbzxjt5rkxd63etoq

User interfaces and discrete event simulation models

Jasna Kuljis
1994 Simulation Practice and Theory  
To Alistair Gardiner for helping me to capture graphics from a screen.  ...  SimDraw supports importing bitmapped images from other sources, like for example Windows Paintbrush.  ...  Norman (1987) calls this image "the system image" to distinguish it from the conceptual model upon which it is based, and the mental model one hopes that the user will form of the system.  ... 
doi:10.1016/0928-4869(94)90011-6 fatcat:w5rz6nynwfcl3g6tzpw2l4oqc4

The Acquisition of Morphophonology

Brian MacWhinney
1978 Monographs of the Society for Research in Child Development  
This ties in which the usage-based view that French liaison is a collection of frequent constructions with specific liaison consonants that originated from phonetically conditioned final consonant deletion  ...  The child had to repeat the name (until it was repeated correctly) and was then presented with the second image and asked to form the plural in the same way.  ...  . † The StreefLijst (SL) ratings were taken from the streeflijst voor 4-tot 6-jarigen 'target list vocabulary for 4-to 6-year-olds' (Damhuis et al. 1992 ) and reflect judgments of 2585 words by 71 teachers  ... 
doi:10.2307/1166047 fatcat:7msswhpjb5gy3bxcejyzxtinbq

MMEDIA 2017 The Ninth International Conferences on Advances in Multimedia MMEDIA 2017 Committee MMEDIA Steering Committee MMEDIA 2017 Technical Program Committee

Marco Martalò, Shohei Yokoyama, Jean-Claude Moissinac, Telecom Paristech, France Thalmann, Alexander Loui, Jean-Claude Moissinac, Telecom Paristech, France Thalmann, Trista Chen, Trista Consulting, Alexander Usa (+38 others)
The Ninth International Conferences on Advances in Multimedia (MMEDIA 2017), held between   unpublished
MMEDIA 2017 brought together experts from both academia and industry for the exchange of ideas and discussions on future challenges in multimedia fundamentals, mobile and ubiquitous multimedia, multimedia  ...  Data collection This section presents a description of the Method of (1) data collection presented in Figure 1 . Geotagged tweets sent from Twitter are a collection target.  ...  We got approximately 300 skin images from face and 50 skin images from hand using the two cameras. Figure 10 depicts the segmentation result after watershed transform.  ... 
fatcat:b64rri5ymbctxnl7uklbozddii
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