Skip to content

Latest commit

 

History

History
80 lines (42 loc) · 8.64 KB

papersUsingFLIP.md

File metadata and controls

80 lines (42 loc) · 8.64 KB
Raw

List of papers 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.

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.