Visualizing Distribution Coverage in Generative Diffusion Models
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/huggingface/diffusers
Terminology
Sources
- Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
- GPIC: A Giant Permissive Image Corpus for Visual Generation
- Evaluating Large Language Models Trained on Code
- The Vendi Score: A Diversity Evaluation Metric for Machine Learning
- Classifier-Free Diffusion Guidance
- ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
- GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models
- Consistency Models
- Wan: Open and Advanced Large-Scale Video Generative Models
- Qwen-Image Technical Report
- SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
- Representation Fr'echet Loss for Visual Generation
- Qwen-Image-2.0 Technical Report
- Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation
- Score Distillation of Flow Matching Models
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