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CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization CVPR 2026 Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator ICML 2025 Elucidating the design space of language models for image generation ICML 2025 Epsilon-VAE: Denoising as Visual Decoding ICML 2025 Improving the Diffusability of Autoencoders ICML 2025 Inductive Moment Matching ICML 2025 Is Noise Conditioning Necessary for Denoising Generative Models? ICML 2025 REG: Rectified Gradient Guidance for Conditional Diffusion Models ICML 2025 S4S: Solving for a Fast Diffusion Model Solver ICML 2025 SADA: Stability-guided Adaptive Diffusion Acceleration ICML 2025 Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency ICML 2025 Spherical-Nested Diffusion Model for Panoramic Image Outpainting ICML 2025 Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets ICML 2025 VCT: Training Consistency Models with Variational Noise Coupling ICML 2025 Cross-view Masked Diffusion Transformers for Person Image Synthesis ICML 2024 Efficient Denoising Diffusion via Probabilistic Masking ICML 2024 Learning Quantized Adaptive Conditions for Diffusion Models ECCV 2024 SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow ECCV 2024 SMaRt: Improving GANs with Score Matching Regularity ICML 2024 SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher ECCV 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling ICML 2024