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Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation.

, , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 456-470. Springer, (2019)

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Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation., , , , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 456-470. Springer, (2019)VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids., , , , and . NeurIPS, (2022)Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis., , , and . CVPR, page 5870-5879. Computer Vision Foundation / IEEE, (2020)NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models., , , , , , , , and . CVPR, page 8496-8506. IEEE, (2023)WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space., , , , , and . CoRR, (2023)On the Frequency Bias of Generative Models., , and . NeurIPS, page 18126-18136. (2021)Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis., , , and . CoRR, (2019)GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis., , , and . NeurIPS, (2020)StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets., , and . SIGGRAPH (Conference Paper Track), page 49:1-49:10. ACM, (2022)ARAH: Animatable Volume Rendering of Articulated Human SDFs., , , and . ECCV (32), volume 13692 of Lecture Notes in Computer Science, page 1-19. Springer, (2022)