Bullitt, E.,
Aylward, S.R.,
Volume rendering of segmented image objects,
MedImg(21), No. 8, August 2002, pp. 998-1002.
IEEE Top Reference.
0301
BibRef
Roerdink, J.B.T.M.,
Multiresolution maximum intensity volume rendering by morphological
adjunction pyramids,
IP(12), No. 6, June 2003, pp. 653-660.
IEEE DOI
0307
BibRef
Roerdink, J.B.T.M.[Jos B. T. M.],
Morphological Pyramids in Multiresolution MIP Rendering of Large Volume
Data: Survey and New Results,
JMIV(22), No. 2-3, May 2005, pp. 143-157.
Springer DOI
0505
Survey, Rendering.
BibRef
Earlier:
A New Class of Morphological Pyramids for Multiresolution Image
Analysis,
WTRCV02(165-175).
0204
BibRef
Thevenaz, P.,
Unser, M.,
Precision isosurface rendering of 3D image data,
IP(12), No. 7, July 2003, pp. 764-775.
IEEE DOI
0308
BibRef
Zhou, J.L.[Jian-Long],
Döring, A.[Andreas],
Tönnies, K.D.[Klaus D.],
Control of Object Visibility in Volume Rendering:
A Distance-based Approach,
IJIG(5), No. 4, October 2005, pp. 699-714.
0510
BibRef
Wang, W.C.[Wen-Cheng],
Sun, H.Q.[Han-Qiu],
Wu, E.H.[En-Hua],
Projective Volume Rendering By Excluding Occluded Voxels,
IJIG(5), No. 2, April 2005, pp. 413-431.
0504
BibRef
Fang, S.F.[Shiao-Fen],
Adada, M.[Marwan],
Multi-scale Iso-surface Extraction For Volume Visualization,
IJIG(6), No. 2, April 2006, pp. 173-185.
0604
BibRef
Liao, D.D.[Duo-Duo],
Fang, S.F.[Shiao-Fen],
A Volumetric Framework for the Modeling and Rendering of Dynamic and
Heterogeneous Scenes,
GMP08(xx-yy).
Springer DOI
0804
BibRef
Dinesha, V.[Vijeth],
Adabala, N.[Neeharika],
Natarajan, V.[Vijay],
Uncertainty visualization using HDR volume rendering,
VC(27), No. 3, March 2011, pp. 265-278.
WWW Link.
1203
BibRef
Goswami, P.[Prashant],
Erol, F.[Fatih],
Mukhi, R.[Rahul],
Pajarola, R.[Renato],
Gobbetti, E.[Enrico],
An efficient multi-resolution framework for high quality interactive
rendering of massive point clouds using multi-way kd-trees,
VC(29), No. 1, January 2013, pp. 69-83.
WWW Link.
1301
BibRef
Kuffner dos Anjos, R.[Rafael],
Ribeiro, C.S.[Claudia Sofia],
Simões Lopes, D.[Daniel],
Madeiras-Pereira, J.[João],
Stroke-based splatting: an efficient multi-resolution point cloud
visualization technique,
VC(34), No. 10, October 2018, pp. 1383-1397.
Springer DOI
1809
BibRef
Xu, Y.J.[Ying-Jie],
Liu, B.Z.[Bang-Zhen],
Tang, H.[Hao],
Deng, B.L.[Bai-Lin],
He, S.F.[Sheng-Feng],
Learning with Unreliability: Fast Few-Shot Voxel Radiance Fields with
Relative Geometric Consistency,
CVPR24(20342-20351)
IEEE DOI Code:
WWW Link.
2410
Accuracy, Smoothing methods, Codes, Image color analysis, Navigation,
Pattern recognition
BibRef
Zeng, X.F.[Xian-Fang],
Chen, X.[Xin],
Qi, Z.Q.[Zhong-Qi],
Liu, W.[Wen],
Zhao, Z.[Zibo],
Wang, Z.B.[Zhi-Bin],
Fu, B.[Bin],
Liu, Y.[Yong],
Yu, G.[Gang],
Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion
Models,
CVPR24(4252-4262)
IEEE DOI
2410
Solid modeling, Image resolution, Shape, Pipelines, Lighting,
diffusion model, texture generation
BibRef
Dutt, N.S.[Niladri Shekhar],
Muralikrishnan, S.[Sanjeev],
Mitra, N.J.[Niloy J.],
Diffusion 3D Features (Diff3F) Decorating Untextured Shapes with
Distilled Semantic Features,
CVPR24(4494-4504)
IEEE DOI Code:
WWW Link.
2410
Training, Point cloud compression, Shape, Image synthesis, Semantics,
Benchmark testing, semantic shape descriptors, shape analysis,
part segmentation
BibRef
Zhang, Y.[Yi],
Huang, X.Y.[Xiao-Yang],
Ni, B.B.[Bing-Bing],
Zhang, W.J.[Wen-Jun],
Li, T.[Teng],
Frequency-Modulated Point Cloud Rendering with Easy Editing,
CVPR23(119-129)
IEEE DOI
2309
BibRef
Hu, T.[Tao],
Xu, X.G.[Xiao-Gang],
Chu, R.[Ruihang],
Jia, J.Y.[Jia-Ya],
TriVol: Point Cloud Rendering via Triple Volumes,
CVPR23(20732-20741)
IEEE DOI
2309
BibRef
Hu, T.[Tao],
Xu, X.G.[Xiao-Gang],
Liu, S.[Shu],
Jia, J.Y.[Jia-Ya],
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance
Fields,
CVPR23(8349-8358)
IEEE DOI
2309
BibRef
Chen, H.[Haolan],
Luo, S.T.[Shi-Tong],
Gao, X.[Xiang],
Hu, W.[Wei],
Unsupervised Learning of Geometric Sampling Invariant Representations
for 3D Point Clouds,
GSP-CV21(893-903)
IEEE DOI
2112
Geometry, Annotations, Computational modeling, Semantics
BibRef
Dai, P.[Peng],
Zhang, Y.D.[Yin-Da],
Li, Z.W.[Zhu-Wen],
Liu, S.C.[Shuai-Cheng],
Zeng, B.[Bing],
Neural Point Cloud Rendering via Multi-Plane Projection,
CVPR20(7827-7836)
IEEE DOI
2008
Rendering (computer graphics),
Cameras, Geometry, Pipelines, Machine learning
BibRef
Yeshwanth Kumar, A.,
Noufia, M.A.,
Shahira, K.A.,
Ramiya, A.M.,
Building Information Modelling of a Multi Storey Building Using
Terrestrial Laser Scanner and Visualisation Using Potree:
An Open Source Point Cloud Renderer,
LC3D19(421-426).
DOI Link
1912
BibRef
Bonatto, D.,
Rogge, S.,
Schenkel, A.,
Ercek, R.,
Lafruit, G.,
Explorations for real-time point cloud rendering of natural scenes in
virtual reality,
IC3D16(1-7)
IEEE DOI
1703
data structures
BibRef
Rematas, K.[Konstantinos],
Ferrari, V.[Vittorio],
Neural Voxel Renderer: Learning an Accurate and Controllable
Rendering Tool,
CVPR20(5416-5426)
IEEE DOI
2008
Rendering (computer graphics),
Image color analysis, Cameras, Lighting, Painting, Geometry
BibRef
Sun, C.[Che],
Agu, E.[Emmanuel],
Many-Lights Real Time Global Illumination Using Sparse Voxel Octree,
ISVC15(II: 150-159).
Springer DOI
1601
BibRef
Nagai, K.[Kazuhiro],
Rosen, P.[Paul],
Guidance on the Selection of Central Difference Method Accuracy in
Volume Rendering,
ISVC15(I: 328-338).
Springer DOI
1601
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Light Field Rendering .