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Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs., , и . ECCV (17), том 12362 из Lecture Notes in Computer Science, стр. 647-664. Springer, (2020)Towards Learning a Realistic Rendering of Human Behavior., , , и . ECCV Workshops (2), том 11130 из Lecture Notes in Computer Science, стр. 409-425. Springer, (2018)Unsupervised Part Discovery by Unsupervised Disentanglement., , и . GCPR, том 12544 из Lecture Notes in Computer Science, стр. 345-359. Springer, (2020)A Disentangling Invertible Interpretation Network for Explaining Latent Representations., , и . CVPR, стр. 9220-9229. Computer Vision Foundation / IEEE, (2020)Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis., , и . ICCV, стр. 2699-2709. IEEE, (2019)Network-to-Network Translation with Conditional Invertible Neural Networks., , и . NeurIPS, (2020)Maximizing Mutual Shape Information., , , , , и . BMVC, стр. 909. BMVA Press, (2022)Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation., , , , , и . CoRR, (2024)ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis., , , и . NeurIPS, стр. 3518-3532. (2021)Shape or Texture: Understanding Discriminative Features in CNNs., , , , , , и . ICLR, OpenReview.net, (2021)