adversarial loss

High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning CVPR 2026 Uncovering and Mitigating Transient Blindness in Multimodal Model Editing AAAI 2026 Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step ICLR 2025 Distributional Adversarial Loss AISTATS 2025 Drafting and Revision: Advancing High-Fidelity Video Inpainting IJCAI 2025 Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction ICCV 2025 Adversarial Diffusion Distillation ECCV 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback NeurIPS 2024 Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model WACV 2024 GRIT: GAN Residuals for Paired Image-to-Image Translation WACV 2024 P2D: Plug and Play Discriminator for Accelerating GAN Frameworks WACV 2024 Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback ICLR 2024 Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NeurIPS 2024 Adversarial Training from Mean Field Perspective NeurIPS 2023 GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER NeurIPS 2023 High-Fidelity Audio Compression with Improved RVQGAN NeurIPS 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement CVPR 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks EACL 2023 End-to-End Binaural Speech Synthesis Interspeech 2022 GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors CVPR 2022 gDNA: Towards Generative Detailed Neural Avatars CVPR 2022 H-Consistency Bounds for Surrogate Loss Minimizers ICML 2022