Research map / Image generation / Fast diffusion sampling
Adversarial Flow Models
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Closest papers by meaning
- Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models (AAAI 2018 · similarity 0.93)
- TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows (ICLR 2026 · similarity 0.89)
- MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows (ICML 2023 · similarity 0.89)
- Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation (AAAI 2025 · similarity 0.89)
- Align Your Flow: Scaling Continuous-Time Flow Map Distillation (NeurIPS 2025 · similarity 0.89)
- Deep MMD Gradient Flow without adversarial training (ICLR 2025 · similarity 0.88)
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