[78] Y. Song and S. Ermon. Generative modeling by estimating gradients of the data distribution. NeurIPS, 32, 2019. 3
[79] Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole. Score-based generative modeling through stochastic differential equations. arXiv preprint arXiv:2011.13456, 2020. 1, 3
[80] L. Tang, N. Ruiz, Q. Chu, Y. Li, A. Holynski, D. E. Jacobs, B. Hariharan, Y. Pritch, N. Wadhwa, K. Aberman, et al. Realfill: Reference-driven generation for authentic image completion. arXiv preprint arXiv:2309.16668, 2023. 1
[81] L. Tang, D. Wertheimer, and B. Hariharan. Revisiting pose-normalization for fine-grained few-shot recognition. In CVPR, pages 14352-14361, 2020. 2
[82] P. Truong, M. Danelljan, F. Yu, and L. Van Gool. Warp consistency for unsupervised learning of dense correspondences. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10346-10356, 2021. 6
[83] P. Truong, M. Danelljan, F. Yu, and L. Van Gool. Probabilistic warp consistency for weakly-supervised semantic correspondences. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8708-8718, 2022. 6, 17
[84] N. Tumanyan, O. Bar-Tal, S. Bagon, and T. Dekel. Splicing vit features for semantic appearance transfer. In CVPR, pages 10748-10757, 2022. 2
[85] N. Tumanyan, M. Geyer, S. Bagon, and T. Dekel. Plug-and-play diffusion features for text-driven image-to-image translation. arXiv preprint arXiv:2211.12572, 2022. 1, 3, 4
[86] M. Tyszkiiewicz, P. Fua, and E. Trulls. Disk: Learning local features with policy gradient. Advances in Neural Information Processing Systems, 33:14254-14265, 2020. 9
[87] J. Valmadre, L. Bertinetto, J. F. Henriques, R. Tao, A. Vedaldi, A. W. Smeulders, P. H. Torr, and E. Gavves. Long-term tracking in the wild: A benchmark. In ECCV, pages 670–685, 2018. 10
[88] C. Vondrick, A. Shrivastava, A. Fathi, S. Guadarrama, and K. Murphy. Tracking emerges by colorizing videos. In ECCV, pages 391–408, 2018. 10
[89] C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The caltech-ucsd birds-200-2011 dataset. 2011. 5
[90] Q. Wang, Y.-Y. Chang, R. Cai, Z. Li, B. Hariharan, A. Holynski, and N. Snavely. Tracking everything everywhere all at once. arXiv preprint arXiv:2306.05422, 2023. 1
[91] Q. Wang, X. Zhou, B. Hariharan, and N. Snavely. Learning feature descriptors using camera pose supervision. In ECCV, pages 757-774. Springer, 2020. 2, 8, 9, 18
[92] X. Wang, A. Jabri, and A. A. Efros. Learning correspondence from the cycle-consistency of time. In CVPR, pages 2566-2576, 2019. 1, 2, 10
[93] Z. Wu, Y. Xiong, S. Yu, and D. Lin. Unsupervised feature learning via non-parametric instance-level discrimination. arXiv preprint arXiv:1805.01978, 2018. 10
[94] J. Xu, S. Liu, A. Vahdat, W. Byeon, X. Wang, and S. De Mello. Open-vocabulary panoptic segmentation with text-to-image diffusion models. arXiv preprint arXiv:2303.04803, 2023. 3, 16
[95] J. Xu and X. Wang. Rethinking self-supervised correspondence learning: A video frame-level similarity perspective. arXiv preprint arXiv:2103.17263, 2021. 9, 10
[96] N. Xu, L. Yang, Y. Fan, D. Yue, Y. Liang, J. Yang, and T. Huang. Youtube-vos: A large-scale video object segmentation benchmark. arXiv preprint arXiv:1809.03327, 2018. 10
[97] B. Yan, Y. Jiang, P. Sun, D. Wang, Z. Yuan, P. Luo, and H. Lu. Towards grand unification of object tracking. In ECCV, pages 733-751. Springer, 2022. 2
[98] E. Yu, K. Blackburn-Matzen, C. Nguyen, O. Wang, R. Habib Kazi, and A. Bousseau. Videodoodles: Hand-drawn animations on videos with scene-aware canvases. ACM Transactions on Graphics (TOG), 42(4):1-12, 2023. 1
[99] Y. Zhang, H. Ling, J. Gao, K. Yin, J.-F. Lafleche, A. Barriuso, A. Torralba, and S. Fidler. Datasetgan: Efficient labeled data factory with minimal human effort. In CVPR, 2021. 2
[100] D. Zhao, Z. Song, Z. Ji, G. Zhao, W. Ge, and Y. Yu. Multi-scale matching networks for semantic correspondence. In ICCV, pages 3354-3364, 2021. 6
[101] W. Zhao, Y. Rao, Z. Liu, B. Liu, J. Zhou, and J. Lu. Unleashing text-to-image diffusion models for visual perception. arXiv preprint arXiv:2303.02153, 2023. 3, 16
[102] Y. Zhou, C. Barnes, E. Shechtman, and S. Amirghodsi. Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2266-2276, 2021. 1