[1] Rameen Abdal, Peihao Zhu, Niloy J Mitra, and Peter Wonka. Labels4free: Unsupervised segmentation using stylegan. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 13970-13979, 2021. 3
[2] Rameen Abdal, Peihao Zhu, Niloy J Mitra, and Peter Wonka. Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows. ACM Transactions on Graphics (ToG), 40(3):1-21, 2021. 2
[3] Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, and Amit Bermano. Hyperstyle: Stylegan inversion with hypernetworks for real image editing. In CVPR, pages 18511-18521, 2022. 2
[4] Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang. Generative modeling for multi-task visual learning. In International Conference on Machine Learning, pages 1537-1554. PMLR, 2022. 3
[5] Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros. Visual prompting via image inpainting. Advances in Neural Information Processing Systems, 35:25005-25017, 2022. 2
[6] H Barrow and J Tenenbaum. Recovering intrinsic scene characteristics. Comput. vis. syst, 2(3-26):2, 1978. 2, 3, 10
[7] David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba. Understanding the role of individual units in a deep neural network. Proceedings of the National Academy of Sciences, 117(48):30071-30078, 2020. 2
[8] David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B Tenenbaum, William T Freeman, and Antonio Torralba. Gan dissection: Visualizing and understanding generative adversarial networks. arXiv preprint arXiv:1811.10597, 2018. 2
[9] Sean Bell, Kavita Bala, and Noah Snavely. Intrinsic images in the wild. ACM Transactions on Graphics, 2014. 5
[10] Shariq Farooq Bhat, Reiner Birkl, Diana Wofk, Peter Wonka, and Matthias Müller. Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288, 2023. 1, 2, 3, 4, 5, 6, 17
[11] Anand Bhattachad and D.A. Forsyth. Stylitgan: Prompting stylegan to generate new illumination conditions. In arXiv, 2023. 2, 3, 4, 9, 10
[12] Anand Bhattachad, Viraj Shah, Derek Hoiem, and DA Forsyth. Make it so: Steering stylegan for any image inversion and editing. arXiv preprint arXiv:2304.14403, 2023. 2
[13] Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T. Freeman. Maskgit: Masked generative image transformer. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. 2
[14] Min Jin Chong and David Forsyth. Jojogan: One shot face stylization. arXiv preprint arXiv:2112.11641, 2021. 2
[15] Min Jin Chong, Hsin-Ying Lee, and David Forsyth. Stylegan of all trades: Image manipulation with only pretrained stylegan. arXiv preprint arXiv:2111.01619, 2021. 2
[16] Prafulla Dhariwal and Alexander Nichol. Diffusion models beat gans on image synthesis. Advances in Neural Information Processing Systems, 34:8780-8794, 2021. 2
[17] Ainaz Eftekhar, Alexander Sax, Jitendra Malik, and Amir Zamir. Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021. 3, 5, 6, 9, 16, 17
[18] Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao. Eva-02: A visual representation for neon genesis. arXiv preprint arXiv:2303.11331, 2023. 1, 2, 4, 6, 7, 19, 20, 21, 22
[19] Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao. Eva: Exploring the limits of masked visual representation learning at scale. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. 3
[20] David Forsyth and Jason J Rock. Intrinsic image decomposition using paradigms. IEEE transactions on pattern analysis and machine intelligence, 44(11):7624-7637, 2021. 1, 2, 3, 4, 5, 7
[21] Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial networks. arXiv preprint