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  • Introduction
  • 1. 开山模型
  • 2. 自然语言处理
  • 3. 计算机视觉
    • DDPM:Denoising Diffusion Probabilistic Models
    • DDIM:DENOISING DIFFUSION IMPLICIT MODELS
    • CDM:Diffusion Models Beat GANs on Image Synthesis
    • SCORE-BASED GENERATIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUATIONS
    • CDM:CLASSIFIER-FREE DIFFUSION GUIDANCE
    • RePaint:Inpainting using Denoising Diffusion Probabilistic Models
    • Stable Diffusion:High-Resolution Image Synthesis with Latent Diffusion Models
    • Semi-Parametric Neural Image Synthesis
    • Stable Video Diffusion:Scaling Latent Video Diffusion Models to Large Datasets
    • DiT:Scalable Diffusion Models with Transformers
    • Sora:A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
    • Segment Anything
    • ControlNet:Adding Conditional Control to Text-to-Image Diffusion Models
    • T2I-Adapter:Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
    • IP-Adapter:Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
    • Imagen:Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
    • DALL·E:Zero-Shot Text-to-Image Generation
    • DALL·E2:unCLIP:Hierarchical Text-Conditional Image Generation with CLIP Latents
    • DALL·E3:Improving Image Captioning with Better Use of Captions
    • VQ-GAN:Taming Transformers for High-Resolution Image Synthesis
  • 4. 强化学习
  • 5. 大模型微调
  • 6. 参考文献
  • 7. 贡献
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  1. 3. 计算机视觉

Semi-Parametric Neural Image Synthesis

2204.11824

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摘要

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Last updated 10 months ago