References
“Learn Rigging in 2021: List of Rigging Tutorials.” 2021. BlenderNation. February 2, 2021. https://www.blendernation.com/2021/02/02/learn-rigging-in-2021-list-of-rigging-tutorials/.
Abbas, Abdallah, Khairil Imran, and Choo-Yee Ting. “User Experience Design Using Machine Learning: A Systematic Review.” IEEE Access 10 (January 2022): 1-1. https://doi.org/10.1109/ACCESS.2022.3173289.
Beery, Sara, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, and Pietro Perona. “Synthetic Examples Improve Generalization for Rare Classes.” arXiv:1904.05916v2 [cs.CV]. May 14, 2019. https://arxiv.org/abs/1904.05916.
Bendel, O. 2023. “Image Synthesis from an Ethical Perspective.” AI & Society. https://doi.org/10.1007/s00146-023-01780-4.
Blender Foundation. Blender Manual: Armatures & Rigging. July 4, 2024. https://docs.blender.org/manual/en/latest/animation/index.html.
Blender Foundation. Blender Manual: Armatures. July 4, 2024. https://docs.blender.org/manual/en/latest/animation/armatures/index.html.
Bolaños, Luis A., D. Xiao, N. L. Ford, J. M. LeDue, P. K. Gupta, C. Doebeli, H. Hu, H. Rhodin, and T. H. Murphy. 2021. “A Three-Dimensional Virtual Mouse Generates Synthetic Training Data for Behavioral Analysis.” Nature Methods 18, no. 4: 378– 381. https://doi.org/10.1038/s41592-021-01103-9.
Buda, Mateusz, Atsuto Maki, and Maciej A. Mazurowski. “A Systematic Study of the Class Imbalance Problem in Convolutional Neural Networks.” Neural Networks 106 (2018): 249-259. https://doi.org/10.1016/j.neunet.2018.07.011.
CG Cookie. “Blender Animation Tutorials.” Accessed July 5, 2024. https://www.blenderguru.com/tutorials/introduction-to-rigging?rq=animation%27.
COCO. COCO – Common Objects in Context. Accessed July 24, 2024. https://cocodataset.org/#home.
Fastai. “Fastai Documentation.” Accessed July 13, 2024. https://docs.fast.ai/.
Fastai. fastai. GitHub repository. Last modified July 14, 2024. Accessed June 28, 2024. https://github.com/fastai/fastai.
Gao, L., L. Zhang, C. Liu, and S. Wu. 2020. “Handling Imbalanced Medical Image Data: A Deep-Learning-Based One-Class Classification Approach.” Artificial Intelligence in Medicine 108: 101935. https://doi.org/10.1016/j.artmed.2020.101935.
He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. “Deep Residual Learning for Image Recognition.” arXiv. December 10, 2015. https://arxiv.org/abs/1512.03385.
Howard, Jeremy, and Sylvain Gugger. “Fastai: A Layered API for Deep Learning.” Fastai Blog. August 13, 2021. https://www.fast.ai/posts/2020-02-13-fastai-A-Layered-API-for-Deep-Learning.html.
Ienca, J.M., and E. Vayena. 2019. “The Global Landscape of AI Ethics Guidelines.” Nature Machine Intelligence 1 (9): 389–399. https://doi.org/10.1038/s42256-019-0088-2.
Károly, Artúr I., Imre Nádas, and Péter Galambos. “Synthetic Multimodal Video Benchmark (SMVB): Utilizing Blender for Rich Dataset Generation.” In Proceedings of the 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI) (2024): 65–70. https://doi.org/10.1109/SAMI60510.2024.10432848.
Kerim, Abdulrahman, Leandro Soriano Marcolino, and Richard Jiang. 2021. “Silver: Novel Rendering Engine for Data Hungry Computer Vision Models.” Paper presented at the 2nd International Workshop on Data Quality Assessment for Machine Learning, August 15, 2021. https://eprints.lancs.ac.uk/id/eprint/157140.
Marković, Branko, Drago Nedić, and Savo Minić. 2018. “ICT Systems for Monitoring and Protection of Wildlife in Their Natural Environment.” Veterinarski Journal Republike Srpske 18, no. 1: 165-178. https://doi.org/10.7251/VETJEN1801132M.
Meerman, Vasco. “History and Literature on (Stable) Diffusion.” Medium. August 16, 2023. https://medium.com/@vasco-dev/history-and-literature-on-latent-stable-diffusion-dbca69fd54d5.
Mumuni, A., Mumuni, F., and Gerrar, N.K. “A Survey of Synthetic Data Augmentation Methods in Machine Vision.” Machine Intelligence Research (2024). https://doi.org/10.1007/s11633-022-1411-7.
Nandutu, I., M. Atemkeng, and P. Okouma. 2023. “Integrating AI Ethics in Wildlife Conservation AI Systems in South Africa: A Review, Challenges, and Future Research Agenda.” AI & Society 38 (1): 245–257. https://doi.org/10.1007/s00146-021-01285-y.
Pocock, Kevin. “The Creators of Stable Diffusion: An Inside Look.” PC Guide. Updated on August 11, 2023. https://www.pcguide.com/apps/who-made-stable-diffusion/.
Price, Andrew. “How to Animate in Blender.” Blender Guru. Accessed July 2, 2024. https://www.blenderguru.com/search?q=keyframes.
Sahlgren, O. 2024. “Action-Guidance and AI Ethics: The Case of Fair Machine Learning.” AI Ethics. https://doi.org/10.1007/s43681-024-00437-2.
Schröder, Pascal. “Using Fastai for Image Classification.” Towards Data Science, June 14, 2019. https://towardsdatascience.com/using-fastai-for-image-classification-54d2b39511ce.
Shooter, M., Malleson, C., and Hilton, A. “SyDog-Video: A Synthetic Dog Video Dataset for Temporal Pose Estimation.” International Journal of Computer Vision 132 (June 2024): 1986–2002. https://doi.org/10.1007/s11263-023-01946-z.
Torres, Jane. “YOLOv8 Architecture: A Deep Dive into Its Architecture.” YOLOv8. Accessed July 24, 2024. https://yolov8.org/yolov8-architecture/.
Ultralytics. Ultralytics YOLO Docs. Accessed July 24, 2024. https://docs.ultralytics.com/.
Model References
“Forest Grove” (forest_grove_8k.hdr) HDR image was photographed by Dimitrios Savva and processed by Jarod Guest. It is available on Poly Haven: https://polyhaven.com/a/forest_grove, licensed under CC-0.
Bird model was created by BillA and is available on BlendSwap: https://www.blendswap.com/blend/14195, licensed under CC-BY 3.0. Initially created on Blender 2.72 and the Cycles render engine. Uploaded on 2020-01-02.
Cat model was created by JonasDichelle and is available on BlendSwap: https://blendswap.com/blend/18519, licensed under CC-BY 3.0. Initially created on Blender 2.77 and the Cycles render engine. Uploaded on 2016- 09-28.
Red fox model was created by vasu1033 and is available on BlendSwap: https://www.blendswap.com/blend/24920, licensed under CC-BY 3.0. Initially created on Blender 2.8 and the Cycles render engine. Uploaded on 2020-04- 23.
Squirrel model used in this project was created by MajorNightmare and is available on BlendSwap: https://blendswap.com/blend/24348, licensed under CC-BY 3.0. Initially created on Blender 2.8 and the EEVEE render engine. Uploaded on 2020-02- 01.
Tree branches model was created by plantuz and is available on BlendSwap: https://blendswap.com/blend/23531, licensed under CC-0. Initially created on Blender 2.8 and the Cycles render engine. Uploaded on 2019-09-18.
Tree trunk model was created by abtron and is available on BlendSwap: https://blendswap.com/blend/31075, licensed under CC-0. Initially created on Blender 3.0 and the Cycles render engine. Uploaded on 2023-02-24.