Seedream 4.0: Toward Next-generation Multimodal Image Generation
Paper • 2509.20427 • Published • 84
Image Generation
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 246 -
RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards
Paper • 2512.00473 • Published • 27 -
Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis
Paper • 2602.03139 • Published • 45 -
V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think
Paper • 2604.23380 • Published • 4 -
Probing Visual Planning in Image Editing Models
Paper • 2604.22868 • Published • 2 -
World-R1: Reinforcing 3D Constraints for Text-to-Video Generation
Paper • 2604.24764 • Published • 118 -
Leveraging Verifier-Based Reinforcement Learning in Image Editing
Paper • 2604.27505 • Published • 57 -
Representation Fréchet Loss for Visual Generation
Paper • 2604.28190 • Published • 32 -
Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
Paper • 2605.06376 • Published • 26 -
Recovering Hidden Reward in Diffusion-Based Policies
Paper • 2605.00623 • Published • 4 -
DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
Paper • 2605.15055 • Published • 19 -
RewardHarness: Self-Evolving Agentic Post-Training
Paper • 2605.08703 • Published • 9 -
Generative Recursive Reasoning
Paper • 2605.19376 • Published • 29 -
Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models
Paper • 2605.21573 • Published • 103 -
Channel-wise Vector Quantization
Paper • 2605.26089 • Published • 13 -
Geometry-Aware Image Flow Matching
Paper • 2605.25294 • Published • 10 -
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Paper • 2605.25191 • Published • 4 -
Reinforcing Few-step Generators via Reward-Tilted Distribution Matching
Paper • 2605.26108 • Published • 4 -
Colored Noise Diffusion Sampling
Paper • 2605.30332 • Published • 11