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Image Generation

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하위 태스크: 23
평가표: 93
보존된 평가 기록: 870

Image Generation (synthesis) is the task of generating new images from an existing dataset.

Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

<span style="color:grey; opacity: 0.6">( Image credit: StyleGAN )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/crcrpar/pytorch.sngan_projection

공식 코드

cGANs with Projection Discriminator

https://github.com/croitorualin/curriculum-dpo

공식 코드

Curriculum Direct Preference Optimization for Diffusion and Consistency Models

https://github.com/croitorualin/reverse-stable-diffusion

공식 코드

Reverse Stable Diffusion: What prompt was used to generate this image?

https://github.com/crossmodalgroup/dynamicvectorquantization

공식 코드

Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization

https://github.com/crossmodalgroup/maskedvectorquantization

공식 코드

Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation

https://github.com/crowsonkb/k-diffusion

공식 코드

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

https://github.com/crslab/OCFGAN

공식 코드

A Characteristic Function Approach to Deep Implicit Generative Modeling

https://github.com/crystalneuro/visual-concept-translator

공식 코드

General Image-to-Image Translation with One-Shot Image Guidance

https://github.com/cs-chan/ArtGAN

공식 코드

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

https://github.com/csccm-iitd/glunet

공식 코드

Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification

https://github.com/csehong/SSPP-DAN

공식 코드

SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person

https://github.com/csinva/matching-with-gans

공식 코드

Matched sample selection with GANs for mitigating attribute confounding

https://github.com/csjliang/LPTN

공식 코드

High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

https://github.com/csmliu/pretrained-gans

공식 코드

A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration

https://github.com/csslc/ccsr

공식 코드

Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

https://github.com/csxmli2016/SymmFCNet

공식 코드

Learning Symmetry Consistent Deep CNNs for Face Completion

https://github.com/csxmli2016/redegnet

공식 코드

From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution

https://github.com/csxmli2016/w-plus-adapter

공식 코드

When StyleGAN Meets Stable Diffusion: a $\mathscr{W}_+$ Adapter for Personalized Image Generation

https://github.com/csyufei/ceat2i

공식 코드

Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models

https://github.com/csyxwei/FFWM

공식 코드

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

https://github.com/csyxwei/awesome-personalized-image-generation

공식 코드

Personalized Image Generation with Deep Generative Models: A Decade Survey

https://github.com/csyxwei/elite

공식 코드

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

https://github.com/csyxwei/ipose

공식 코드

Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis

https://github.com/csyxwei/masterweaver

공식 코드

MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation

https://github.com/csyxwei/orojar

공식 코드

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

https://github.com/cszn/scunet

공식 코드

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis

https://github.com/cszy98/SPGNet

공식 코드

Learning Semantic Person Image Generation by Region-Adaptive Normalization

https://github.com/cszy98/place

공식 코드

PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis

https://github.com/cszy98/safm

공식 코드

Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis

https://github.com/cuhk-aim-group/polyp-gen

공식 코드

Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion

https://github.com/cuiaiyu/dressing-in-order

공식 코드

Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing

https://github.com/cuixing100876/instastyle

공식 코드

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser

https://github.com/cumulo-autumn/streamdiffusion

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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

https://github.com/cure-lab/directinversion

공식 코드

Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

https://github.com/cure-lab/evaluateaigc

공식 코드

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis

https://github.com/curto2/c

공식 코드

High-Resolution Deep Convolutional Generative Adversarial Networks

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