High-Resolution Image Synthesis with Latent Diffusion Models
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- Type
- preprint
- Published
- 2021-12-20
- Cited by
- 27,050
- References
- 110
- Access
- Open access
- OpenAlex
- https://openalex.org/W4226317937
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:245335280
Keywords
Computer science, Artificial intelligence, Inference, Inpainting, Pixel
References
- LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
- Auto-Encoding Variational Bayes
- Unbiased look at dataset bias
- ImageNet: A large-scale hierarchical image database
- Conditional Generative Adversarial Nets
- Learning Structured Output Representation using Deep Conditional Generative Models
- Generating Images with Perceptual Similarity Metrics based on Deep Networks
- Pixel Recurrent Neural Networks
- Generative Adversarial Text to Image Synthesis
- Image-to-Image Translation with Conditional Adversarial Networks
- Unrolled Generative Adversarial Networks
- COCO-Stuff: Thing and Stuff Classes in Context
- Places: A 10 Million Image Database for Scene Recognition
- NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
- On the convergence properties of GAN training
- Free-Form Image Inpainting With Gated Convolution
- Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
- A Style-Based Generator Architecture for Generative Adversarial Networks
Cited by
- Automatic Differentiation: Inverse Accumulation Mode
- Autonomous x-ray scattering
- Manipulating Medical Image Translation with Manifold Disentanglement
- A Survey on Vision Transformer
- Generalization in Sensorimotor Networks Configured with Natural Language Instructions
- Enhancement of Novel View Synthesis Using Omnidirectional Image Completion
- Complex Scene Image Editing by Scene Graph Comprehension
- Hierarchical Text-Conditional Image Generation with CLIP Latents
- Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
- Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
- Retrieval-Augmented Diffusion Models
- Fast Sampling of Diffusion Models with Exponential Integrator
- KNN-Diffusion: Image Generation via Large-Scale Retrieval
- BlobGAN: Spatially Disentangled Scene Representations
- CLIP-CLOP: CLIP-Guided Collage and Photomontage
- Industrial Light and Magic
- Diffusion
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
- DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
- Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
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