papersUsingFLIP.md

List of papers/code that are using/citing ꟻLIP

Please let us know if you know of more papers that use/cite ꟻLIP.

Using ꟻLIP:

1. Jae-Ho Nah, "QuickETC2: Fast ETC2 texture compression using Luma differences", ACM Transactions on Graphics (SIGGRAPH Asia), November 2020 Article No. 270

2. Johanna Engman and Hanna Nilsson, "A Novel Perceptual Metric in Machine Learning", Master's thesis, Lund University, 2020.

3. Finn, Sinclair, "Spatio-temporal reprojection for virtual and augmented reality applications", Bachelor thesis, 2020.

4. Márcio C. F. Macedo and Antônio L. Apolinário Jr., "Live user-guided depth map estimation for single images", Journal of Real-Time Image Processing, 2021.

5. T. Neff, P. Stadlbauer, M. Parger, A. Kurz, C. R. A. Chaitanya, A. Kaplanyan, M. Steinberger, "DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks", arXiv:2103.03231, 2021.

6. Muhammad Huzaifa, Rishi Desai, Samuel Grayson, Xutao Jiang, Ying Jing, Jae Lee, Fang Lu, Yihan Pang, Joseph Ravichandran, Finn Sinclair, Boyuan Tian, Hengzhi Yuan, Jeffrey Zhang, Sarita V. Adve, "Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research", arXiv:2004.04643, 2021.

7. Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, and Samuli Laine, "Appearance-Driven Automatic 3D Model Simplification", arXiv:2104.03989, 2021.

8. Jozef Hladky, Hans-Peter Seidel, and Markus Steinberger, "SnakeBinning: Efficient Temporally Coherent Triangle Packing for Shading Streaming", Eurographics, 2021.

9. Joerg H. Mueller, Thomas Neff, Philip Voglreiter, Markus Steinberger, and Dieter Schmalstieg, "Temporally Adaptive Shading Reuse for Real-Time Rendering and Virtual Reality", ACM Transactions on Graphics, April 2021, Article No.: 11, 2021. Note: they use FLIP in their video, but not in the paper.

10. Chris Wyman and Alexey Panteleev, "Rearchitecting Spatiotemporal Resampling for Production", High Performance Graphics, 2021.

11. Jonathan Granskog, Till Schnabel, Fabrice Rousselle, and Jan Novak, "Neural Scene Graph Rendering", ACM Transactions on Graphics (SIGGRAPH), 2021. (used in supplemental)

12. Thomas Muller, Fabrice Rousselle, Jan Novak, Alex Keller, "Real-time Neural Radiance Caching for Path Tracing", ACM Transactions on Graphics (SIGGRAPH), 2021.

13. Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, and Jan Novák, "NeRF-Tex: Neural Radiance Field Textures", Eurographics Symposium on Rendering, 2021.

14. Philippe Weier, Marc Droske, Johannes Hanika, Andrea Weidlich, and Jiří Vorba, "Optimised Path Space Regularisation", Eurographics Symposium on Rendering, 2021.

15. Herman Hansson Söderlund, "Hardware-Accelerated Ray Tracing of Implicit Surfaces", Master's thesis, BTH, May 2021.

16. X. Zhang, M. Manzi, T. Vogels, H. Dahlberg, M. Gross, and M. Papas, "Deep Compositional Denoising for High-quality Monte Carlo Rendering", Eurographics Symposium on Rendering, 2021.

17. Alan Wolfe, "Using Blue Noise for Ray Traced Soft Shadows", chapter 24, in Ray Tracing Gems 2, edited by Marrs, Shirley, and Wald, 2021.

18. Nate Morrical and Stefan Zellman, "Inverse Transform Sampling using Ray Tracing Hardware", chapter 39, in Ray Tracing Gems 2, edited by Marrs, Shirley, and Wald, 2021.

19. Nikolai Hoffman and Alex Evans, "Efficient Unbiased Volume Path Tracing on the GPU", chapter 43, in Ray Tracing Gems 2, edited by Marrs, Shirley, and Wald, 2021.

20. Magdalena Martinek, Philip Thiemann, and Marc Stamminger, "Spatio-temporal filtered motion DAGs for path-tracing", Computers & Graphics, Volume 99, pp. 224-233, October 2021.

21. Alexander Dahlinand Veronica Sundstedt, "Improving Ray Tracing Performance with Variable Rate Shading", EG UK Computer Graphics and Visual Computing (CGVC), 2021.

22. Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowskil, and Ana Serrano, "Learning a Self-Supervised Tone Mapping Operator via Feature Contrast Masking Loss", arXiv:2110.09866, 2021.

23. Bjoern Haefner, Simon Green, Alan Oursland, Daniel Andersen, Michael Goesele, Daniel Cremers, Richard Newcombe, and Thomas Whelan,"Recovering Real-World Reflectance Properties and Shading From HDR Imagery", International Conference on 3D Vision, 2021.

24. Muhammad Huzaifa, Rishi Desai, Samuel Grayson, Xutao Jiang, Ying Jing, Jae Lee, Fang Lu, Yihan Pang, Joseph Ravichandran, Finn Sinclair, Boyuan Tian, Hengzhi Yuan, Jeffrey Zhang, and Sarita V. Adve, "ILLIXR: Enabling End-to-End Extended Reality Research", IEEE International Symposium on Workload Characterization, 2021.

25. Albert Garifullin, Vladimir Frolov, and Anastasiya Khlupina, "Approximate Instancing for Modeling Plant Ecosystems", GraphiCon 2021.

26. Pierre Moreau and Michael Doggett, "Real-Time Rendering of Indirectly Visible Caustics", GRAPP, 2022.

27. Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, and Ravi Ramamoorthi, "Scalar Spatiotemporal Blue Noise Masks", arXiv:2112.09629, 2021.

28. Pierre Moreau, "Towards Fully Dynamic Surface Illumination in Real-Time Rendering using Acceleration Data Structures", PhD thesis, Lund University, 2022.

29. Mick van der Spoel, Marijn van Wingerden, and L.L. Sharon Ong, "Comparing loss functions for optimization of generative adversarial networks for MR-contrast image-to-image translation", Proceedings of Machine Learning, 2022.

30. Mikhail Derevyannykh, "Real-Time Path-Guiding Based on Parametric Mixture Models", arXiv:2112.09728, 2021.

31. Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Timotei Ardelean, and Victor Lempitsky, "Stereo Magnification with Multi-Layer Images", arXiv:2201.05023, 2022.

32. Yixin Zhuang, "Filtering In Implicit Neural Networks", arXiv:2201.13013, 2022.

33. Alejandro Cosin Ayerbe and Gustavo Patow, "Clustered voxel real-time global illumination", Computers & Graphics, Volume 103, pp. 75-89, April 2022.

34. Arthur Firmino, Jeppe Revall Frisvad, and Henrik Wann Jensen, "Progressive Denoising of Monte Carlo Rendered Images", Eurographics, 2022.

35. Huan Wang Jian Ren, Zeng Huang. Kyle Olszewski, Menglei Chai, Yun Fu, and Sergey Tulyakov, "R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis", arXiv:2203.17261, 2022

36. T. Neff, J.H. Mueller, M. Steinberger, and D. Schmalstieg, "Meshlets and How to Shade Them: A Study on Texture-Space Shading", Eurographics, 2022.

37. Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, and Kede Ma, "Measuring Perceptual Color Differences of Smartphone Photography", arXiv:2205.13489, 2022.

38. Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Muller,and Sanja Fidler, "Extracting Triangular 3D Models, Materials, and Lighting From Images", arXiv:2111.12503, 2021.

39. Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, and Naoto Yokoya, "V4D: Voxel for 4D Novel View Synthesis", arXiv:2205.14332, 2022.

40. Tianye Li, Mira Slavcheva, Michael Zollhoefer Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, and Zhaoyang Lv, "Neural 3D Video Synthesis from Multi-view Video", CVPR 2022.

41. Y. Wu, H. Vo, J. Gong, and Z. Zhu, "UnityPIC: Unity Point-Cloud Interactive Core", Eurographics Symposium on Parallel Graphics and Visualization, 2021.

42. Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, and Ravi Ramamoorthi, "Spatiotemporal Blue Noise Masks", Eurographics Sympsium on Rendering, 2022.

43. Charlie Mrad, "Image Upscaling for Ray Traced Foveated Rendering", Master's thesis, Lund University, 2022.

44. Grigoris Tsopouridis, Ioannis Fudos, and Andreas-Alexandros Vasilakis, "Deep Hybrid Order-Independent Transparency", The Visual Computer, 2022.

45. Aamir Mustafa, Hongjie You, and Rafal K. Mantiuk, "A Comparative Study on the Loss Functions for Image Enhancement Networks", London Imaging Meeting, 2022.

46. Yujie Wang, Praneeth Chakravarthula, Qi Sun, and Baoquan Chen, "Joint Neural Phase Retrieval and Compression for Energy- and Computation-Efficient Holography on the Edge", ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2022.

47. Max Oberberger. Matthäus G. Chajdas, and Rüdiger Westermann, "Spatiotemporal Variance-Guided Filtering for Motion Blur", Proceedings of the ACM on Computer Graphics and Interactive Techniques, Volume 5, Issue 3, July 2022.

48. Joao Liborio Cardoso, Bernhard Kerbl, Lei Yang, Yury Uralsky, and Michael Wimmer, "Training and Predicting Visual Error for Real-Time Applications", Proceedings of the ACM on Computer Graphics and Interactive Techniques, Volume 5, Issue 1, May 2022.

49. Michal Hvězda, "Dynamic Diffuse Global Illumination", master thesis, Czech Technical University in Prague, 2022.

50. Aamir Mustafa, Param Hanji, Rafal K. Mantiuk, "Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping", arXiv:2209.15165, 2022.

51. Subin Kim, Sihyun Yu, Jaeho Lee, and Jinwoo Shin, "Scalable Neural Video Representations with Learnable Positional Features", arXiv:2210.06823, 2022.

52. Bingyi Lu, Jiyuan Liu, and Huilin Xiong, "Transformation-Based Adversarial Defense Via Sparse Representation", IEEE International Conference on Image Processing, 2022.

53. Keshuo Xu, Zhihua Wang, Yang Yang, Jianlei Dong, Lihao Xu, Yuming Fang, and Kede Ma, "A Database of Visual Color Differences of Modern Smartphone Photography", IEEE International Conference on Image Processing, 2022.

54. George Corrêa de Araújo and Helio Pedrini, "Single Image Super-Resolution Based on Capsule Neural Networks", arXiv:2210.03743 2022.

55. Ling Li, Chunyi Chen, Jun Peng, and Ripei Zhang, "Predicting visual difference maps for computer-generated images by integrating human visual system model and deep learning", IET Image Processing, 2022.

56. Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, and Huaping Liu, "Mixed Neural Voxels for Fast Multi-view Video Synthesis", arXiv:2212.00190, 2022.

57. Jozef Hladky, Michael Stengel, Nicholas Vining, Bernhard Kerbl, Hans-Peter Seidel, and Markus Steinberger, "QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction", ACM Transactions on Graphics, Volume 41, Issue 6, December 2022.

58. Jae-Ho Nah and Hyeju Kim, "TexSR: Image Super-Resolution for High-Quality Texture Mapping", SIGGRAPH Asia 2022 Posters, December 2022.

59. Olivier Therrien, Yannick Levesque, and Guillaume Gilet, "Screen space indirect lighting with visibility bitmask", The Visual Computer, 2022.

60. Shishira R Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, and Abhinav Shrivastava, "NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling", arXiv:2212.1459, 2022.

61. Oskar Nyström, "Evaluating PQPM for Usage in Combination with Continuous LOD in VR", Master's thesis, 2022.

62. Gaspard Nahmias, "Normal Map Appearance Filtering using Linearl Transformed Cosines", Master's thesis, October 2022.

63. Nikolai Hofmann, Jon Hasselgren, and Jacob Munkberg, "Joint Neural Denoising of Surfaces and Volumes" (used in supplemental image viewer), I3D, March 2023..

64. Hee Min Choi, Hyoa Kang, and Dokwan Oh, "Is Overfitting Necessary for Implicit Video Representation?", OpenReview.net, April 2023.

65. Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, and Cengiz Oztireli, "Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views", arXiv:2303:15206, April 2023.

66. Ahmet H. Güzel, Jeanne Beyazian, Praneeth Chakravarthula, and Kaan Akșit, "ChromaCorrect: prescription correction in virtual reality headsets through perceptual guidance", Biomedical Optics Express, vol. 14, no. 5, April 2023.

67. Chen Yang, Kailing Wang, Yuehao Wang, Xiaokang Yang, and Wei Shen, "Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues", arXiv:2305:19906, May 2023.

68. Uğur Çoğalan, Mojtaba Bemana, Hans-Peter Seidel, and Karol Myszkowski, "Enhancing image quality prediction with self-supervised visual masking", arXiv:2305:19858, May 2023.

69. Karel Tomanec, "Efficient sampling for computing complex illumination in real-time", May 2023.

70. Jakub Olejnik, "Exploration of Alternative Image Representation Using Signed Distance Functions", Master's thesis, June 2023.

71. Polychronakis, Andreas and Koulieris, George Alex and Mania, Katerina, "An Inverted Pyramid Acceleration Structure Guiding Foveated Sphere Tracing for Implicit Surfaces in VR", Eurographics Symposium on Rendering, June 2023.

72. Ruggero Pintus, Moonisa Ahsan, Antonio Zorcolo, Fabio Bettio, Fabio Marton, and Enrico Gobbetti, "Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections", Journal on Computing and Cultural Heritage, vol. 16, no. 2, 2023.

73. Haoyu Chen, Zhihua Wang, Yang Yang, Qilin Sun, and Kede Ma, "Learning a Deep Color Difference Metric for Photographic Images", CVPR, June 2023.

74. Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, and Nahyup Kang, "Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields", CVPR, June 2023.

75. T. Neff, B. Budge, Z. Dong, D. Schmalstieg, and M. Steinberger, "PSAO: Point-Based Split Rendering for Ambient Occlusion", High-Performance Graphics, June 2023.

76. Marcos Fajardo and Matt Pharr, "Fast Procedural Noise By Stochastic Sampling", Eurographics Symposium on Rendering, 2023.

77. Jaroslav Kravec, Martin Káčerik and Jiří Bittner, "PVLI: potentially visible layered image for real-time ray tracing", The Visual Computer, July 2023.

78. Carlos Rodriguez-Pardo, Javier Fabre, Elena Garces, and Jorge Lopez-Moreno, "NEnv: Neural Environment Maps for Global Illumination", Computer Graphics Forum, vol. 42, no. 4, July 2023.

79. Z. Zeng, Z. Xu, L. Wang, L. Wu, L. Yan, "Ray-aligned Occupancy Map Array for Fast Approximate Ray Tracing", Computer Graphics Forum, vol. 42, no. 4, July 2023.

80. Carlos Rodriguez-Pardo1, Konstantinos Kazatzisb, Jorge Lopez-Moreno, and Elena Garces, "NeuBTF: Neural fields for BTF encoding and transfer", arXiv:2307:01199, July 2023.

81. Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, and Yotam Gingold,"ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization", ACM Transactions on Graphics, vol. 42, no. 4, July 2023.

82. Alexander Rath, Ömercan Yazici, and Philipp Slusallek, "Focal Path Guiding for Light Transport Simulation", SIGGRAPH, August 2023.

83. Martin Balint, Krzysztof Wolski, Karol Myszkowski, Hans-Peter Seidel, and Rafał Mantiuk, "Neural Partitioning Pyramids for Denoising Monte Carlo Renderings", SIGGRAPH, August 2023.

84. Eugene d'Eon, Benedikt Bitterli, Andrea Weidlich, and Tizian Zeltner, "Microfacet Theory for Non-Uniform Heightfields", SIGGRAPH, August 2023.

85. Karthik Vaidyanathan, Marco Salvi, Bartlomiej Wronski, Tomas Akenine‑Möller, Pontus Ebelin, and Aaron Lefohn, "Random-Access Neural Compression of Material Textures", SIGGRAPH, August 2023.

86. Toya Katsube, Shinya Nishida, and Yoshihiro Watanabe, "パストレーシングを用いたプロジェクションマッピングのための" http://sigmr.vrsj.org/, 2023.

87. Philippe Weier, Tobias Zirr, Anton Kaplanyan, Ling-Qi Yan, and Philipp Slusallek, "Neural Prefiltering for Correlation-Aware Levels of Detail", ACM Transactions on Graphics, vol. 42, no. 4, 2023.

88. Alexander Weinrauch, Wolfgang Tatzgern, Pascal Stadlbauer, Alexis Crickx, Jozef Hladky, Arno Coomans, Martin Winter, Joerg H. Mueller, and Markus Steinberger, "Effect-based Multi-viewer Caching for Cloud-native Rendering", ACM Transactions on Graphics, vol. 42, no. 4, 2023.

89. Xinyu Gao, Ziyi Yang, Yunlu Zhao, Yuxiang Sun, Xiaogang Jin, and Changqing Zou, "A General Implicit Framework for Fast NeRF Composition and Rendering", arXiv:2308.04669, August 2023.

90. Jae-Ho Nah, "QuickETC2-HQ: Improved ETC2 encoding techniques for real-time, high-quality texture compression", Computers & Graphics, vol. 116, November 2023.

91. Bucciero, Alberto and Fanini, Bruno and Graf, Holger and Pescarin, Sofia, and Rizvic, Selma, "Effective Interactive Visualization of Neural Relightable Images in a Web-based Multi-layered Framework", Eurographics Workshop on Graphics and Cultural Heritage, 2023

92. Takuhiro Kaneko, "MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields", ICCV, 2023.

93. Hyeon-ki Lee and Jae-Ho Nah, "H-ETC2: Design of a CPU-GPU Hybrid ETC2 Encoder", Pacific Graphics/Computer Graphics Forum, vol. 42, no. 7, 2023.

94. Zhaowei Gao, Mingyang Song, Christopher Schroers, and Yang Zhang, "Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation", arXiv:2310.19535, October, 2023.

95. Farnood Salehi, Tunç Ozan Aydın, André Gaillard, Guglielmo Camporese, and Yuxuan Wang, "Empowering Convolutional Neural Networks with MetaSin Activation", NeurIPS 2023.

96. Francesco Banterle, Giuseppe Caggianese, Nicola Capece, Ugo Erra, Katia Lupinetti, Gilda and Manfredi, "A Foveated Framework to Accelerate Real-time Path Tracing", Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference, 2023.

97. Justine Giroux, Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Javier Vazquez-Corral, and Jean-François Lalonde, "Towards a Perceptual Evaluation Framework for Lighting Estimation", arXiv:2312.04334, December 2023.

98. Chen Yang, Kailing Wang, Yuehao Wang, Qi Dou, Xiaokang Yang, and Wei Shen, "Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane", arXiv:2312.15253, December 2023.

99. Hyeju Kim and Jah-Ho Nah, "Comparative analysis of the deep-learning-based super-resolution methods for generating high-resolution texture maps", Journal of the Korea Computer Graphics Society 29(5):31-40, 2023.

100. Thomson TG, Jeppe Revall Frisvad, Ravi Ramamoorthi, and Henrik Wann Jensen, "Neural BSSRDF: Object Appearance Representation Including Heterogeneous Subsurface Scattering", arXiv:2312.15711, December 2023.

101. Rafal K. Mantiuk, Param Hanji, Maliha Ashraf, Yuta Asano, and Alexandre Chapiro, "ColorVideoVDP: A visual difference predictor for image, video and display distortions", arXiv:2401.11485, January 2024.

102. Yu-Ting Wu and I-Chao Shen, "Improving cache placement for efficient cache-based rendering", The Visual Computer, January 2024.

103. Zhongye Shen, Chunyi Chen, Ripei Zhang, Haiyang Yu, and Ling Li, "Perception-JND-driven path tracing for reducing sample budget", The Visual Computer, January 2024.

104. Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, and Matt Pharr, "Decorrelating ReSTIR Samplers via MCMC Mutations", ACM Transactions on Graphics, vol. 43, no. 1, pp 1–15, 2024.

105. Qian Fu, Linlin Liu, Fei Hou, and Ying He, "Hierarchical vectorization for facial images", Computational Visual Media, vol. 10, pages 97–118, 2024.

106. H.Kim and J-H Na, "Comparative Analysis of the Deep-Learning-based Super-Resolution Methods for Generating Texture Maps", Journal of the Korea Computer Graphics Society, December, 2023.

107. Jaroslav Nejedly, "Neural representations for differentiable volume rendering", Master's thesis, Charles University, Prague, 2024.

108. N.Violante, A.Gauthier, S.Diolatzis. T.Leimkühler, and G.Drettakis, "Physically-Based Lighting for 3D Generative Models of Cars", Eurographics, 2024.

109. Simon Lucas, Mickaël Ribardière, Romain Pacanowski, Pascal Barla, "A Fully-correlated Anisotropic Micrograin BSDF Model", in submission, May 2024.

110. H. B. Vernooij, "A Fresnel Model for Coated Materials", Eurographics, short papers, 2024.

111. Chuanyu Shen, "Visual Perception-Driven Dynamic Adaptive Shading", International Conference on Consumer Electronics and Computer Engineering, 2024.

112. LOUIS DE OLIVEIRA, "Continuous Appearance for Material Textures with Neural Rendering", Royal Institute of Technology, Sweden, 2024.

113. Haolin Lu, Wesley Chang, Trevor Hedstrom, and Tzu-Mao Li, "Real-Time Path Guiding Using Bounding Voxel Sampling", ACM Transactions on Graphics (SIGGRAPH), 2024.

114. Philippe Weier, Iliyan Georgiev, Alexander Rath, Philipp Slusallek, Élie Michel, and Tamy Boubekeur "N-BVH: Neural ray queries with bounding volume hierarchies", ACM Transactions on Graphics (SIGGRAPH), 2024.

115. Coomans, Arno, Dominici, Edoardo Alberto, Döring, Christian, Mueller, Joerg H., Hladky, Jozef, and Steinberger, Markus, "Real-time Neural Rendering of Dynamic Light Fields", Computer Graphics Forum, vol. 43, no. 2, 2024.

116. Çogalan, Ugur, Bemana, Mojtaba, Seidel, Hans-Peter, and Myszkowski, Karol, "Enhancing Image Quality Prediction with Self-supervised Visual Masking", Computer Graphics Forum, vol. 43, no. 2, 2024.

117. Clément Weinreich, Louis De Oliveira, Antoine Houdard, and Georges Nader, "Real-Time Neural Materials using Block-Compressed Features", Computer Graphics Forum, vol. 43, no. 2, 2024.

118. Bora Yalçıner and Ahmet Oğuz Akyüz, "Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for GPU Path Tracers", arXiv:2405.06997, May 2024.

119. Jiayue Liu, Xiao Tang, Freeman Cheng, Roy Yang, Zhihao Li, Jianzhuang Liu, Yi Huang, Jiaqi Lin, Shiyong Liu, Xiaofei Wu, Songcen Xu, and Chun Yuan, "MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections", arXiv:2405.11921, May 2024.

120. Zhenni Wang, Tze Yui Ho, Yi Xiao, and Chi Sing Leung, "Temporal vectorized visibility for direct illumination of animated models", Computational Visual Media, May 2024.

Citing ꟻLIP (but not using):

1. Jim Nilsson and Tomas Akenine-Möller, "Understanding SSIM", arXiv:2006.13846v2, 2020.

2. Michael N. Mishourovsky, "Visually Lossless Colour Compression Technology", in Smart Algorithms for Multimedia and Imaging, edited by Michael N. Rychagov, Ekaterina V. Tolstaya, and Mikhail Y. Sirotenko, 2021.

3. Ha Manh Luu, Theo van Walsum, Daniel Franklin, Phuong Cam Pham, Luu Dang Vu, Adriaan Moelker, Marius Staring, Xiem VanHoang, Wiro Niessen, Nguyen Linh Trung, "Efficiently Compressing 3D Medical Images for Teleinterventions via CNNs and Anisotropic Diffusion", Medical Physics, 2021.

4. Yining Karl Li, "Porting Takua Renderer to 64-bit ARM- Part 1", blog, May 2021.

5. Bipul Mohanto, Tariqul Islam, Enrico Gobbetti, and OliverStaadt, "An Integrative View of Foveated Rendering", Computers & Graphics, October 2021.

6. Richard Szeliski, Computer Vision: Algorithms and Applications, 2nd ed., 2021.

7. Tomas Polasek, David Hrusa, Bedrich Benes, an Martin Čadík, "ICTree: Automatic Perceptual Metrics for Tree Models", ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA), 2021.

8. Georg Kohl, Li-Wei Chen, and Nils Thuerey, "Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs", arXiv:2202.04109, 2022.

9. Cara Tursun and Piotr Didyk, "Perceptual Visibility Model for Temporal Contrast Changes in Periphery", arXiv:2205.00108, 2022.

10. Rafal K. Mantiuk, Malisha Ashraf, and Alexandre Chapiro, "stelaCSF - A Unified Model of Contrast Sensitivity as the Function of Spatio-Temporal Frequency, Eccentricity, Luminance and Area", SIGGRAPH 2022.

11. Jae-Ho Nah, "ASTC Block-Size Determination Method based on PSNR Values", Journal of the Korea Computer Graphics Society, June 2022.

12. Sayantan Datta, Derek Nowrouzezahrai, Christoph Schied, and Zhao Dong, "Neural Shadow Mapping", SIGGRAPH 2022.

13. Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, and Linus Gisslén, "Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning", arXiv:2208.12674, 2022.

14. David Hrusa, "BOTANICAL TREE PERCEIVED REALISM METRIC", Master's thesis, Purdue University, 2021.

15. Farnood Salehi, Marco Manzi, Gerhard Röthlin, Christopher Schroers, Romman Weber, and Marios Papas, "Deep Adaptive Sampling and Reconstruction using Analytic Distributions", SIGGRAPH Asia, 2022.

16. Yasuko Sugito, Javier Vazquez-Corral, Trevor Canham, and Marcelo Bertalmío, "Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics", IEEE Transactions on Image Processing, vol. 31, pp. 5163-5177, 2022

17. Akshay Jindal, "Motion quality models for real-time adaptive rendering", PhD thesis, University of Cambridge, October 2022.

18. M. Emre Celebi, "Forty years of color quantization: a modern, algorithmic survey", Artificial Intelligence Review, April 2023.

19. GRIGORIS TSOPOURIDIS, ANDREAS A. VASILAKIS, and IOANNIS FUDOS, "Deep and Fast Approximate Order Independent Transparency", arXiv:2305.10197, May 2023.

20. K. Herveau, M. Piochowiak1, and C. Dachsbacher, "Minimal Convolutional Neural Networks for Temporal Anti Aliasing", High-Performance Graphics, June 2023.

21. Mojtaba Bemana, "Efficient Image-Based Rendering", PhD thesis, July 2023.

22. Martin Balint, Krzysztof Wolski, Karol Myszkowski, Hans-Peter Seidel, Rafał Mantiuk,"Neural Partitioning Pyramids for Denoising Monte Carlo Renderings", SIGGRAPH, July 2023.

23. Davide Sforza and Fabio Pellacini, "Numerical approximations for energy preserving microfacet models", Volume 114, Pages 36-44, August 2023.

24. Marwah Kareem ghoben, Lamia AbedNoor Muhammed, "Analysis of Image Quality Assessment Methods and Metrics: A Comprehensive Review", Journal of Al-Qadisiyah for computer science and mathematics, 2023.

25. Oscar Fickel, "Blue Noise Distributed MCMC Decorrelation of ReSTIR", Master's thesis, 2023.

26. Marissa du Bois, Aria Kraft, and Ani Alston, "Integrating X ͤ SS with Velocity and Luminance Adaptive Rasterization", 2023.

27. Pontus Ebelin, Gyorgy Denes, Tomas Akenine-Möller, Kalle Åström, Magnus Oskarsson, and William H. McIlhagga, "Estimates of Temporal Edge Detection Filters in Human Vision", ACM Transactions on Applied Perception, December 2023.

28. Walter Adame Gonzalez, "FONDUE: Robust resolution-invariant denoising of Magnetic Resonance Images using Nested UNets", MSc thesis, McGill University, 2023.

29. Geoffery Agorku, Sarah Hernandez PhD, Maria Falquez, Subhadipto Poddar PhD, and Kwadwo Amankwah-Nkyi, "Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning. ", arXiv:2401.03070, January 2024.

Code/frameworks/tools that use ꟻLIP:

1. Falcor.

2. The FLOꟼ tool.

3. PBRT v4