gan training

DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech AAAI 2025 IT3D: Improved Text-to-3D Generation with Explicit View Synthesis AAAI 2024 3D-Aware Generative Model for Improved Side-View Image Synthesis ICCV 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Complex Momentum for Optimization in Games AISTATS 2022 GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022 GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation CVPR 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 On Convergence of Lookahead in Smooth Games AISTATS 2022 DeepCFL: Deep Contextual Features Learning From a Single Image WACV 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 Stability and Generalization of Stochastic Gradient Methods for Minimax Problems ICML 2021 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images CVPR 2020 On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems ICML 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 Training Generative Adversarial Networks by Solving Ordinary Differential Equations NeurIPS 2020 Towards a Better Understanding and Regularization of GAN Training Dynamics UAI 2019 Tempered Adversarial Networks ICML 2018 Which Training Methods for GANs do actually Converge? ICML 2018 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017