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Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.

, , and . ECCV (17), volume 12362 of Lecture Notes in Computer Science, page 647-664. Springer, (2020)

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Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets., , , , , , , , , and 2 other author(s). CoRR, (2023)Scaling Rectified Flow Transformers for High-Resolution Image Synthesis., , , , , , , , , and 7 other author(s). CoRR, (2024)A Note on Data Biases in Generative Models., , and . CoRR, (2020)NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models., , , , , , , , and . CVPR, page 8496-8506. IEEE, (2023)Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models., , and . CoRR, (2022)SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis., , , , , , , and . CoRR, (2023)Geometry-Free View Synthesis: Transformers and no 3D Priors., , and . ICCV, page 14336-14346. IEEE, (2021)Taming Transformers for High-Resolution Image Synthesis., , and . CVPR, page 12873-12883. Computer Vision Foundation / IEEE, (2021)High-Resolution Image Synthesis with Latent Diffusion Models., , , , and . CVPR, page 10674-10685. IEEE, (2022)Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models., , , , , , and . CVPR, page 22563-22575. IEEE, (2023)