PixARG: Pixel-Asynchronous Retrieval-Augmented Diffusion for Fast and Realistic Image Generation
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/kakaobrain/coyo-dataset
Sources
- Imagen 3
- PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
- Re-Imagen: Retrieval-Augmented Text-to-Image Generator
- RedCaps: web-curated image-text data created by the people, for the people
- Interpreting CLIP's Image Representation via Text-Based Decomposition
- Retrieval-Augmented Generation for Large Language Models: A Survey
- DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
- ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
- Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
- TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
- SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
- From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
- Pseudo Numerical Methods for Diffusion Models on Manifolds
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
- DINOv2: Learning Robust Visual Features without Supervision
- SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
- Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
- KNN-Diffusion: Image Generation via Large-Scale Retrieval
- Denoising Diffusion Implicit Models
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