Generative Models

Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021 Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis ICLR 2021 Towards Generalized Implementation of Wasserstein Distance in GANs AAAI 2021 Towards High Fidelity Face Relighting With Realistic Shadows CVPR 2021 Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing ICCV 2021 Towards Human-Centered Summarization: A Case Study on Financial News EACL 2021 Toward Spatially Unbiased Generative Models ICCV 2021 Towards Real-World Blind Face Restoration With Generative Facial Prior CVPR 2021 Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors NeurIPS 2021 Towards the Unseen: Iterative Text Recognition by Distilling From Errors ICCV 2021 Towards understanding retrosynthesis by energy-based models NeurIPS 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 Towards Vivid and Diverse Image Colorization With Generative Color Prior ICCV 2021 Towards Zero-Shot Learning With Fewer Seen Class Examples WACV 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021 Transductive Zero-Shot Learning by Decoupled Feature Generation WACV 2021 TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets ICCV 2021 TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up NeurIPS 2021 Translate the Facial Regions You Like Using Self-Adaptive Region Translation AAAI 2021 Trumpets: Injective flows for inference and inverse problems UAI 2021 Truth-Conditional Captions for Time Series Data EMNLP 2021