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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/VinAIResearch/CPM

공식 코드

Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

https://github.com/VinAIResearch/HyperInverter

공식 코드

HyperInverter: Improving StyleGAN Inversion via Hypernetwork

https://github.com/VinAIResearch/QC-StyleGAN

공식 코드

QC-StyleGAN -- Quality Controllable Image Generation and Manipulation

https://github.com/VinAIResearch/RDUOT

공식 코드

A High-Quality Robust Diffusion Framework for Corrupted Dataset

https://github.com/Vinayak-VG/GAURA

공식 코드

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views

https://github.com/Vious/LBAM_inpainting

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Image Inpainting with Learnable Bidirectional Attention Maps

https://github.com/Vision-CAIR/GRaWD

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Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation

https://github.com/Visual-Conception-Group/LGAP

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Language Guided Adversarial Purification

https://github.com/VisualComputingInstitute/diffusion-e2e-ft

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Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

https://github.com/WHUQZhang/STS-CNN

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Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

https://github.com/WU-CVGL/MVControl-threestudio

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Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting

https://github.com/WU-CVGL/USB-NeRF

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USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields

https://github.com/Wangyulin-user/TUMSyn

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Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation

https://github.com/Weizhi-Zhong/IP_LAP

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Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

https://github.com/WendongZh/SPL

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Context-Aware Image Inpainting with Learned Semantic Priors

https://github.com/WenjieDu/PyPOTS

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CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

https://github.com/Wi-sc/ViewFusion

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ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

https://github.com/WonwoongCho/GDWCT

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Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

https://github.com/Xiaojiu-z/SSR_Encoder

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SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

https://github.com/Xiaojiu-z/Stable-Makeup

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Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

https://github.com/Xiaoming-Yu/DMIT

공식 코드

Multi-mapping Image-to-Image Translation via Learning Disentanglement

https://github.com/Xiaoming-Yu/SingleGAN

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SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning

https://github.com/Xilluill/KV-Edit

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KV-Edit: Training-Free Image Editing for Precise Background Preservation

https://github.com/XingangPan/DragGAN

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Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

https://github.com/XingangPan/Switchable-Whitening

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Switchable Whitening for Deep Representation Learning

https://github.com/XingangPan/deep-generative-prior

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Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

https://github.com/XiudingCai/EnCo-pytorch

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Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation

https://github.com/Xiuyu-Li/q-diffusion

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Q-Diffusion: Quantizing Diffusion Models

https://github.com/XuFengthucs/fSVT

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Faster Matrix Completion Using Randomized SVD

https://github.com/Xuanmeng-Zhang/MVCGAN

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Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

https://github.com/XuezheMax/macow

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MaCow: Masked Convolutional Generative Flow

https://github.com/XuezheMax/wolf

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Decoupling Global and Local Representations via Invertible Generative Flows

https://github.com/Y-ichen/FlexiFilm

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FlexiFilm: Long Video Generation with Flexible Conditions

https://github.com/YLTun/federated_diffusion_model

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Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks

https://github.com/YY-GX/Annotated-Hands-Dataset

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Annotated Hands for Generative Models

https://github.com/YZY-stack/DF40

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DF40: Toward Next-Generation Deepfake Detection

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