Lin, Z.C.[Zhou-Chen],
Wong, T.T.[Tien-Tsin],
Shum, H.Y.[Heung-Yeung],
Relighting with the Reflected Irradiance Field:
Representation, Sampling and Reconstruction,
IJCV(49), No. 2-3, September-October 2002, pp. 229-246.
DOI Link
0209
BibRef
Earlier:
CVPR01(I:561-567).
IEEE DOI
0110
BibRef
Nayar, S.N.,
Belhumeur, P.N., and
Boult, T.E.,
Lighting Sensitive Display,
ToG(23), No. 4, October 2004, pp. 963-979.
PDF File.
Code, Relighting.
WWW Link.
BibRef
0410
Wang, Z.[Ze],
Leung, C.S.[Chi-Sing],
Wong, T.T.[Tien-Tsin],
Zhu, Y.S.[Yi-Sheng],
Eigen-image based compression for the image-based relighting with
cascade recursive least squared networks,
PR(37), No. 6, June 2004, pp. 1219-1231.
Elsevier DOI
0405
BibRef
Wang, Z.[Ze],
Leung, C.S.[Chi-Sing],
Zhu, Y.S.[Yi-Sheng],
Wong, T.T.[Tien-Tsin],
Data compression with spherical wavelets and wavelets for the
image-based relighting,
CVIU(96), No. 3, December 2004, pp. 327-344.
Elsevier DOI
0411
Compress the many sample images used for lighting.
BibRef
Wang, Z.[Ze],
Leung, C.S.[Chi-Sing],
Wong, T.T.[Tien-Tsin],
Lam, P.M.,
Zhu, Y.S.[Yi-Sheng],
Compressing image-based relighting data using eigenanalysis and
wavelets,
VISP(151), No. 5, October 2004, pp. 378-388.
IEEE Abstract.
0501
BibRef
Wan, L.,
Leung, C.S.,
Lam, P.M.,
Mak, S.K.,
Wong, T.T.,
Isocube-based spherical wavelet for image-based relighting,
IET-CV(5), No. 3, 2011, pp. 151-163.
DOI Link
1106
BibRef
Lam, P.M.[Ping-Man],
Leung, C.S.[Chi-Sing],
Wong, T.T.[Tien-Tsin],
Fu, C.W.[Chi-Wing],
Uniformly sampling multi-resolution analysis for image-based relighting,
JVCIR(21), No. 7, October 2010, pp. 693-706.
Elsevier DOI
1003
Spherical wavelet; Image compression; Global Lighting;
Multi-resolution analysis; Image-based relighting; Plenoptic function;
Spherical basis; Spherical harmonics
BibRef
Leung, C.S.[Chi-Sing],
Wong, T.T.[Tien-Tsin],
Lam, P.M.[Ping-Man],
Choy, K.H.[Kwok-Hung],
An RBF-Based Compression Method for Image-Based Relighting,
IP(15), No. 4, April 2006, pp. 1031-1041.
IEEE DOI
0604
See also Compression Method for a Massive Image Data Set in Image-Based Rendering, A.
BibRef
Lam, P.M.[Ping-Man],
Leung, C.S.[Chi-Sing],
Wong, T.T.[Tien-Tsin],
Noise-resistant hemispherical basis for image-based relighting,
IET-IPR(6), No. 1, 2012, pp. 72-86.
DOI Link
1202
See also Compression Method for a Massive Image Data Set in Image-Based Rendering, A.
BibRef
Ho, P.M.,
Wong, T.T.,
Leung, C.S.,
Compressing the Illumination-Adjustable Images With Principal Component
Analysis,
CirSysVideo(15), No. 3, March 2005, pp. 355-364.
IEEE Abstract.
0501
BibRef
Nishino, K., and
Nayar, S.K.,
Eyes for Relighting,
ToG(23), No. 3, July 2004 pp. 704-711.
PDF File.
BibRef
0407
Lan, Y.X.[Yan-Xiang],
Wang, J.P.[Jia-Ping],
Lin, S.[Stephen],
Gong, M.M.[Min-Min],
Tong, X.[Xin],
Guo, B.N.[Bai-Ning],
Interactive chromaticity mapping for multispectral images,
VC(29), No. 6-8, June 2013, pp. 773-783.
Springer DOI
1306
BibRef
Pandharipande, A.,
Caicedo, D.,
Adaptive Illumination Rendering in LED Lighting Systems,
SMCS(43), No. 5, 2013, pp. 1052-1062.
IEEE DOI
1309
Light emitting diodes
BibRef
Li, G.N.[Guan-Nan],
Liu, Y.B.[Ye-Bin],
Dai, Q.H.[Qiong-Hai],
Free-Viewpoint Video Relighting from Multi-View Sequence under General
Illumination,
MVA(25), No. 7, October 2014, pp. 1737-1746.
WWW Link.
1410
See also Shading-Based Dynamic Shape Refinement from Multi-View Video under General Illumination.
BibRef
Miyagawa, I.[Isao],
Taniguchi, Y.[Yukinobu],
Dense Light Transport for Relighting Computation Using Orthogonal
Illumination Based on Walsh-Hadamard Matrix,
IEICE(E99-D), No. 4, April 2016, pp. 1038-1051.
WWW Link.
1604
BibRef
Zhang, Q.[Qing],
Xiao, C.X.[Chun-Xia],
Sun, H.Q.[Han-Qiu],
Tang, F.[Feng],
Palette-Based Image Recoloring Using Color Decomposition Optimization,
IP(26), No. 4, April 2017, pp. 1952-1964.
IEEE DOI
1704
Color
BibRef
Zhang, Q.[Qing],
Nie, Y.W.[Yong-Wei],
Zhu, L.[Lei],
Xiao, C.X.[Chun-Xia],
Zheng, W.S.[Wei-Shi],
A Blind Color Separation Model for Faithful Palette-Based Image
Recoloring,
MultMed(24), 2022, pp. 1545-1557.
IEEE DOI
2204
Image color analysis, Computational modeling, Hemorrhaging,
Distortion, Image coding, Visualization, Computer science,
palette-based recoloring
BibRef
Liu, S.Y.[Si-Ying],
Do, M.N.[Minh N.],
Inverse Rendering and Relighting From Multiple Color Plus Depth
Images,
IP(26), No. 10, October 2017, pp. 4951-4961.
IEEE DOI
1708
BibRef
Earlier:
Relighting from multiple color and depth images using matrix
factorization,
ICIP14(4627-4631)
IEEE DOI
1502
Face, Geometry, Harmonic analysis, Lighting, Noise measurement, Probes,
Rendering (computer graphics), Inverse rendering, illumination,
reflectance, relighting
BibRef
Liao, Z.C.[Zi-Cheng],
Karsch, K.[Kevin],
Zhang, H.Y.[Hong-Yi],
Forsyth, D.A.[David A.],
An Approximate Shading Model with Detail Decomposition for Object
Relighting,
IJCV(127), No. 1, January 2019, pp. 22-37.
Springer DOI
1901
BibRef
Earlier: A1, A2, A4, Only:
An approximate shading model for object relighting,
CVPR15(5307-5314)
IEEE DOI
1510
BibRef
Hu, Z.Y.[Zhong-Yun],
Nsampi, N.E.[Ntumba Elie],
Wang, X.[Xue],
Wang, Q.[Qing],
PNRNet: Physically-Inspired Neural Rendering for Any-to-Any
Relighting,
IP(31), 2022, pp. 3935-3948.
IEEE DOI
2206
Lighting, Rendering (computer graphics), Image color analysis,
Task analysis, Light sources, Neural networks, Temperature, neural rendering
BibRef
Zhang, X.Y.[Xiao-Yan],
Song, Y.[Yukai],
Li, Z.O.[Zhu-Openg],
Jiang, J.M.[Jian-Min],
PR-RL: Portrait Relighting Via Deep Reinforcement Learning,
MultMed(24), 2022, pp. 3240-3255.
IEEE DOI
2207
Lighting, Geometry, Faces, Reinforcement learning, Task analysis,
Rendering (computer graphics), Image resolution, Image editing,
deep reinforcement learning
BibRef
Zhu, Z.L.[Zuo-Liang],
Li, Z.[Zhen],
Zhang, R.X.[Rui-Xun],
Guo, C.L.[Chun-Le],
Cheng, M.M.[Ming-Ming],
Designing an Illumination-Aware Network for Deep Image Relighting,
IP(31), 2022, pp. 5396-5411.
IEEE DOI
2208
Lighting, Task analysis, Geometry, Neural networks,
Harmonic analysis, Network architecture, Deep learning, Relighting,
geometry gencoder
BibRef
Chen, Z.X.[Zhao-Xi],
Liu, Z.[Ziwei],
Relighting4D: Neural Relightable Human from Videos,
ECCV22(XIV:606-623).
Springer DOI
2211
BibRef
Weir, J.[Joshua],
Zhao, J.[Junhong],
Chalmers, A.[Andrew],
Rhee, T.[Taehyun],
Deep Portrait Delighting,
ECCV22(XVI:423-439).
Springer DOI
2211
BibRef
Rudnev, V.[Viktor],
Elgharib, M.[Mohamed],
Smith, W.[William],
Liu, L.J.[Ling-Jie],
Golyanik, V.[Vladislav],
Theobalt, C.[Christian],
NeRF for Outdoor Scene Relighting,
ECCV22(XVI:615-631).
Springer DOI
2211
BibRef
Lyu, L.J.[Lin-Jie],
Tewari, A.[Ayush],
Leimkühler, T.[Thomas],
Habermann, M.[Marc],
Theobalt, C.[Christian],
Neural Radiance Transfer Fields for Relightable Novel-View Synthesis
with Global Illumination,
ECCV22(XVII:153-169).
Springer DOI
2211
BibRef
Yeh, Y.Y.[Yu-Ying],
Li, Z.Q.[Zheng-Qin],
Hold-Geoffroy, Y.[Yannick],
Zhu, R.[Rui],
Xu, Z.X.[Ze-Xiang],
Hašan, M.[Miloš],
Sunkavalli, K.[Kalyan],
Chandraker, M.[Manmohan],
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor
Scenes,
CVPR22(18541-18550)
IEEE DOI
2210
Geometry, Solid modeling, Photorealism, Layout, Lighting,
Reconstruction algorithms, Vision + graphics,
Physics-based vision and shape-from-X
BibRef
Perroni-Scharf, M.[Maxine],
Sunkavalli, K.[Kalyan],
Eisenmann, J.[Jonathan],
Hold-Geoffroy, Y.[Yannick],
Material Swapping for 3D Scenes using a Learnt Material Similarity
Measure,
WiCV22(2033-2042)
IEEE DOI
2210
Training, Pipelines, Neural networks, Lighting, Feature extraction,
Rendering (computer graphics)
BibRef
Zhang, X.L.[Xian-Ling],
Tseng, N.[Nathan],
Syed, A.[Ameerah],
Bhasin, R.[Rohan],
Jaipuria, N.[Nikita],
SIMBAR: Single Image-Based Scene Relighting For Effective Data
Augmentation For Automated Driving Vision Tasks,
CVPR22(3708-3718)
IEEE DOI
2210
Geometry, Roads, Pipelines, Lighting, Estimation, Object detection,
Image and video synthesis and generation,
Vision + graphics
BibRef
Zhang, L.[Longwen],
Zhang, Q.[Qixuan],
Wu, M.[Minye],
Yu, J.Y.[Jing-Yi],
Xu, L.[Lan],
Neural Video Portrait Relighting in Real-time via Consistency
Modeling,
ICCV21(782-792)
IEEE DOI
2203
Training, Photography, Computational modeling, Semantics, Lighting,
Streaming media, Faces, Computational photography, Image and video synthesis
BibRef
Yu, P.[Piaopiao],
Guo, J.[Jie],
Huang, F.[Fan],
Zhou, C.[Cheng],
Che, H.W.[Hong-Wei],
Ling, X.[Xiao],
Guo, Y.[Yanwen],
Hierarchical Disentangled Representation Learning for Outdoor
Illumination Estimation and Editing,
ICCV21(15293-15302)
IEEE DOI
2203
Representation learning, Analytical models, Image coding,
Computational modeling, Lighting, Estimation,
BibRef
Chandran, S.[Sreenithy],
Hold-Geoffroy, Y.[Yannick],
Sunkavalli, K.[Kalyan],
Shu, Z.X.[Zhi-Xin],
Jayasuriya, S.[Suren],
Temporally Consistent Relighting for Portrait Videos,
ComputationalApp22(719-728)
IEEE DOI
2202
Training, Annotations, Conferences, Lighting, Task analysis, Videos
BibRef
Das, S.D.[Sourya Dipta],
Shah, N.A.[Nisarg A.],
Dutta, S.[Saikat],
Kumar, H.[Himanshu],
Dsrn: an Efficient Deep Network for Image Relighting,
ICIP21(2788-2792)
IEEE DOI
2201
Training, Deep learning, Image resolution, Lighting,
Real-time systems, CNN, Image relighting, End-to-end, Lightweight, DSRN
BibRef
Zhang, K.[Kai],
Luan, F.[Fujun],
Wang, Q.Q.[Qian-Qian],
Bala, K.[Kavita],
Snavely, N.[Noah],
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based
Material Editing and Relighting,
CVPR21(5449-5458)
IEEE DOI
2111
Geometry, Reflectivity, Pipelines, Fitting, Lighting,
Rendering (computer graphics), Mathematical models
BibRef
Zhu, Y.[Yu],
Ding, B.S.[Bo-Song],
Li, C.H.[Cheng-Hua],
Qian, W.L.[Wan-Li],
Li, F.Y.[Fang-Ya],
Yao, Y.H.[Yi-Heng],
Gang, R.P.[Rui-Peng],
Zhang, C.J.[Chun-Jie],
Cheng, J.[Jian],
LTNet: Light Transfer Network for Depth Guided Image Relighting,
NTIRE21(243-251)
IEEE DOI
2109
Measurement, Visualization, Focusing,
Pattern recognition, Task analysis
BibRef
Yang, H.H.[Hao-Hsiang],
Chen, W.T.[Wei-Ting],
Luo, H.L.[Hao-Lun],
Kuo, S.Y.[Sy-Yen],
Multi-modal Bifurcated Network for Depth Guided Image Relighting,
NTIRE21(260-267)
IEEE DOI
2109
Training, Learning systems, Fuses, Pipelines, Training data, Lighting, Feature extraction
BibRef
Wang, Y.Z.[Yuan-Zhi],
Lu, T.[Tao],
Zhang, Y.[Yanduo],
Wu, Y.T.[Yun-Tao],
Multi-scale Self-calibrated Network for Image Light Source Transfer,
NTIRE21(252-259)
IEEE DOI
2109
Degradation, Visualization, Fuses, Semantics, Estimation, Decoding
BibRef
Yang, H.H.[Hao-Hsiang],
Chen, W.T.[Wei-Ting],
Kuo, S.Y.[Sy-Yen],
S3Net: A Single Stream Structure for Depth Guided Image Relighting,
NTIRE21(276-283)
IEEE DOI
2109
Training, Fuses, Lighting, Streaming media, Feature extraction,
Decoding, Pattern recognition
BibRef
Yazdani, A.[Amirsaeed],
Guo, T.[Tiantong],
Monga, V.[Vishal],
Physically Inspired Dense Fusion Networks for Relighting,
NTIRE21(497-506)
IEEE DOI
2109
Training, Reflectivity, Measurement, Neural networks, Lighting,
Predictive models, Feature extraction
BibRef
El Helou, M.[Majed],
Zhou, R.[Ruofan],
Süsstrunk, S.[Sabine],
Timofte, R.[Radu],
Suin, M.[Maitreya],
Rajagopalan, A.N.,
Wang, Y.Z.[Yuan-Zhi],
Lu, T.[Tao],
Zhang, Y.[Yanduo],
Wu, Y.T.[Yun-Tao],
Yang, H.H.[Hao-Hsiang],
Chen, W.T.[Wei-Ting],
Kuo, S.Y.[Sy-Yen],
Luo, H.L.[Hao-Lun],
Zhang, Z.[Zhiguang],
Luo, Z.P.[Zhi-Peng],
He, J.Y.[Jian-Ye],
Zhu, Z.L.[Zuo-Liang],
Li, Z.[Zhen],
Qiu, J.X.[Jia-Xiong],
Kuang, Z.S.[Zeng-Sheng],
Lu, C.Z.[Cheng-Ze],
Cheng, M.M.[Ming-Ming],
Shao, X.L.[Xiu-Li],
Li, C.H.[Cheng-Hua],
Ding, B.S.[Bo-Song],
Qian, W.L.[Wan-Li],
Li, F.Y.[Fang-Ya],
Li, F.[Fu],
Deng, R.F.[Rui-Feng],
Lin, T.W.[Tian-Wei],
Liu, S.H.[Song-Hua],
Li, X.[Xin],
He, D.L.[Dong-Liang],
Yazdani, A.[Amirsaeed],
Guo, T.[Tiantong],
Monga, V.[Vishal],
Nsampi, N.E.[Ntumba Elie],
Hu, Z.Y.[Zhong-Yun],
Wang, Q.[Qing],
Nathan, S.[Sabari],
Kansal, P.[Priya],
Zhao, T.[Tongtong],
Zhao, S.S.[Shan-Shan],
NTIRE 2021 Depth Guided Image Relighting Challenge,
NTIRE21(566-577)
IEEE DOI
2109
Geometry, Target tracking, Image color analysis,
Lighting, Transforms
BibRef
da Cruz, S.D.[Steve Dias],
Taetz, B.[Bertram],
Stifter, T.[Thomas],
Stricker, D.[Didier],
Illumination Normalization by Partially Impossible Encoder-Decoder
Cost Function,
WACV21(1458-1467)
IEEE DOI
2106
Computational modeling, Lighting, Lightning,
Machine learning, Cost function, Robustness
BibRef
Liu, Y.[Yang],
Neophytou, A.[Alexandros],
Sengupta, S.[Sunando],
Sommerlade, E.[Eric],
Relighting Images in the Wild with a Self-Supervised Siamese
Auto-Encoder,
WACV21(32-40)
IEEE DOI
2106
Training, Image coding, Shape, Lighting, Estimation, Harmonic analysis
BibRef
Machida, T.[Takashi],
Nakanishi, S.[Satoru],
Deep Photo Relighting by Integrating Both 2D and 3D Lighting
Information,
ICPR21(8446-8452)
IEEE DOI
2105
Image segmentation,
Machine learning algorithms, Image synthesis, Urban areas,
Lighting
BibRef
Qiu, D.,
Zeng, J.,
Ke, Z.,
Sun, W.,
Yang, C.,
Towards Geometry Guided Neural Relighting with Flash Photography,
3DV20(1137-1146)
IEEE DOI
2102
Lighting, Geometry, Image reconstruction, Task analysis,
Image decomposition, Rendering (computer graphics), Estimation, deep learning
BibRef
Yu, Y.[Ye],
Meka, A.[Abhimitra],
Elgharib, M.[Mohamed],
Seidel, H.P.[Hans-Peter],
Theobalt, C.[Christian],
Smith, W.A.P.[William A. P.],
Self-supervised Outdoor Scene Relighting,
ECCV20(XXII:84-101).
Springer DOI
2011
BibRef
Sang, S.[Shen],
Chandraker, M.[Manmohan],
Single-shot Neural Relighting and SVBRDF Estimation,
ECCV20(XIX:85-101).
Springer DOI
2011
BibRef
Aliev, K.A.[Kara-Ali],
Sevastopolsky, A.[Artem],
Kolos, M.[Maria],
Ulyanov, D.[Dmitry],
Lempitsky, V.[Victor],
Neural Point-based Graphics,
ECCV20(XXII:696-712).
Springer DOI
2011
BibRef
Anokhin, I.[Ivan],
Solovev, P.[Pavel],
Korzhenkov, D.[Denis],
Kharlamov, A.[Alexey],
Khakhulin, T.[Taras],
Silvestrov, A.[Aleksei],
Nikolenko, S.[Sergey],
Lempitsky, V.[Victor],
Sterkin, G.[Gleb],
High-Resolution Daytime Translation Without Domain Labels,
CVPR20(7485-7494)
IEEE DOI
2008
Image resolution, Image segmentation, Image reconstruction,
Task analysis, Training, Videos, Generators
BibRef
Chen, Z.,
Chen, A.,
Zhang, G.,
Wang, C.,
Ji, Y.,
Kutulakos, K.N.,
Yu, J.,
A Neural Rendering Framework for Free-Viewpoint Relighting,
CVPR20(5598-5609)
IEEE DOI
2008
Rendering (computer graphics), Lighting,
Geometry, Spatial resolution, Feature extraction
BibRef
Iorns, T.[Thomas],
Rhee, T.[Taehyun],
Real-Time Image Based Lighting for 360-Degree Panoramic Video,
VG15(139-151).
Springer DOI
1603
BibRef
Ogura, Y.[Yohei],
Saito, H.[Hideo],
Relighting for an Arbitrary Shape Object Under Unknown Illumination
Environment,
ISVC15(II: 433-442).
Springer DOI
1601
BibRef
Yang, Y.[You],
Liu, Q.[Qiong],
A database of reflected irradiance field with depth for image based
relighting,
ICIP15(2582-2585)
IEEE DOI
1512
image based relighting; lighting system; reflected irradiance field
BibRef
Nakahata, R.[Ryosuke],
Hirai, K.[Keta],
Horiuchi, T.[Takahiko],
Tominaga, S.[Shoji],
Development of a Dynamic Relighting System for Moving Planar Objects
with Unknown Reflectance,
CCIW15(81-90).
Springer DOI
1504
BibRef
Vicente, T.F.Y.[Tomás F. Yago],
Samaras, D.[Dimitris],
Single Image Shadow Removal via Neighbor-Based Region Relighting,
CVPV14(309-320).
Springer DOI
1504
BibRef
Put, J.,
Bekaert, P.,
Real-time relighting previews with virtual light fields,
IC3D12(1-6)
IEEE DOI
1503
lighting
BibRef
Ikeda, T.,
de Sorbier, F.,
Saito, H.,
Arbitrarily Shaped Objects Relighting Using an RGB-D Camera,
ACPR13(631-636)
IEEE DOI
1408
cameras
BibRef
Kán, P.[Peter],
Kaufmann, H.[Hannes],
Differential Progressive Path Tracing for High-Quality Previsualization
and Relighting in Augmented Reality,
ISVC13(II:328-338).
Springer DOI
1311
BibRef
Guan, W.[Wei],
You, S.[Suya],
Robust Image Matching with Line Context,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Guan, W.[Wei],
You, S.[Suya],
Sucontphunt, T.[Tanasai],
Neumann, U.[Ulrich],
Image relighting and matching with illumination information,
ICIP12(2941-2944).
IEEE DOI
1302
BibRef
Gunawardane, P.[Prabath],
Scher, S.[Steven],
Davis, J.[James],
Capturing relightable images using computer monitors,
CCD12(14-21).
IEEE DOI
1207
BibRef
Gu, L.[Lin],
Huynh, C.P.[Cong Phuoc],
Robles-Kelly, A.[Antonio],
Zhou, J.[Jun],
Material-specific user colour profiles from imaging spectroscopy data,
ICCV11(1987-1994).
IEEE DOI
1201
BibRef
Teng, X.[Xiao],
Cham, T.J.[Tat-Jen],
Image Relighting by Analogy,
ISVC11(I: 78-89).
Springer DOI
1109
BibRef
Haber, T.[Tom],
Fuchs, C.[Christian],
Bekaer, P.[Philippe],
Seidel, H.P.[Hans-Peter],
Goesele, M.[Michael],
Lensch, H.P.A.[Hendrik P.A.],
Relighting objects from image collections,
CVPR09(627-634).
IEEE DOI
0906
BibRef
Gunawardane, P.[Prabath],
Malzbender, T.[Tom],
Samadani, R.[Ramin],
McReynolds, A.[Alan],
Gelb, D.[Dan],
Davis, J.[James],
Invisible light: Using infrared for video conference relighting,
ICIP10(4005-4008).
IEEE DOI
1009
BibRef
Mangiat, S.[Stephen],
Gibson, J.[Jerry],
Automatic scene relighting for video conferencing,
ICIP09(2781-2784).
IEEE DOI
0911
BibRef
Steele, J.E.[Jay E.],
Geist, R.[Robert],
Relighting Forest Ecosystems,
ISVC09(I: 55-66).
Springer DOI
0911
BibRef
Chow, S.K.[Shu-Kam],
Chan, K.L.[Kwok-Leung],
Specularity removal and relighting of 3D object model for virtual
exhibition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Ahmed, N.[Naveed],
Theobalt, C.[Christian],
Magnor, M.A.[Marcus A.],
Seidel, H.P.[Hans-Peter],
Spatio-Temporal Registration Techniques for Relightable 3D Video,
ICIP07(II: 501-504).
IEEE DOI
0709
BibRef
Ahmed, N.[Naveed],
Theobalt, C.[Christian],
Seidel, H.P.[Hans-Peter],
Spatio-temporal Reflectance Sharing for Relightable 3D Video,
MIRAGE07(47-58).
Springer DOI
0703
BibRef
Shim, H.J.[Hyun-Jung],
Chen, T.H.[Tsu-Han],
Adaptive Environment Map for Relighting:
Using Cameras and Projected Light,
PROCAMS06(1).
IEEE DOI
0609
BibRef
Park, H.H.[Han-Hoon],
Park, J.I.[Jong-Il],
Lee, S.H.[Sang Hwa],
Image-Based Relighting of Moving Objects with Specular Reflection,
CIAP05(519-526).
Springer DOI
0509
BibRef
Beauchesne, E.,
Roy, S.,
Automatic relighting of overlapping textures of a 3D model,
CVPR03(II: 166-173).
IEEE DOI
0307
BibRef
Nielsen, K.H.,
Christensen, N.J.,
Real-Time Dynamic Radiosity Relighting of Virtual Environments,
WSCG02(325).
HTML Version.
0209
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Image Based Rendering, IBR, Surveys, Reviews, Evaluations .