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CVPR 2023 | 最全 AIGC 论文清单汇总版,30个方向130篇!

cvpr2023论文合集

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6万字!30个方向130篇!CVPR 2023 最全 AIGC 论文!一口气读完

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目录

  • 1、图像转换/翻译

  • 2、GAN改进/可控

  • 3、可控文生图/定制化文生图

  • 4、图像恢复

  • 5、布局可控生成

  • 6、医学图像

  • 7、人脸相关

  • 8、3D相关

  • 9、deepfake检测

  • 10、图像超分

  • 11、风格迁移

  • 12、去雨去噪去模糊

  • 13、图像分割

  • 14、视频相关

  • 15、对抗攻击

  • 16、扩散模型改进

  • 17、数据增广

  • 18、说话人生成

  • 19、视图合成

  • 20、目标检测

  • 21、人像生成/姿态迁移

  • 22、发型迁移

  • 23、图像修复

  • 24、表征学习/表示学习

  • 25、语音相关

  • 26、域适应/迁移学习

  • 27、知识蒸馏

  • 28、字体生成

  • 29、异常检测

  • 30、数据集

一、图像转换/翻译

  • 1、Masked and Adaptive Transformer for Exemplar Based Image Translation

  • 2、LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data

  • 3、Interactive Cartoonization with Controllable Perceptual Factors

  • 4、LightPainter: Interactive Portrait Relighting with Freehand Scribble

  • 5、Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

  • 6、Few-shot Semantic Image Synthesis with Class Affinity Transfer

二、GAN改进

  • 7、CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing

  • 8、Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models

  • 9、Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

  • 10、Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN

  • 11、Improving GAN Training via Feature Space Shrinkage

  • 12、Look ATME: The Discriminator Mean Entropy Needs Attention

  • 13、NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs

  • 14、DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation

  • 15、Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint

  • 16、SIEDOB: Semantic Image Editing by Disentangling Object and Background

三、可控文生图/定制化文生图

  • 17、DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

  • 18、Ablating Concepts in Text-to-Image Diffusion Models

  • 19、Multi-Concept Customization of Text-to-Image Diffusion

  • 20、Imagic: Text-Based Real Image Editing with Diffusion Models

  • 21、Shifted Diffusion for Text-to-image Generation

  • 22、SpaText: Spatio-Textual Representation for Controllable Image Generation

  • 23、Scaling up GANs for Text-to-Image Synthesis

  • 24、GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

  • 25、Variational Distribution Learning for Unsupervised Text-to-Image Generation

四、图像恢复

  • 26、Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration

  • 27、Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank

  • 28、Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

  • 29、Generating Aligned Pseudo-Supervision from Non-Aligned Data forImage Restoration in Under-Display Camera

  • 30、 Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

  • 31、Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Model

  • 32、Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation

  • 33、Robust Unsupervised StyleGAN Image Restoration

五、布局可控生成

  • 34、LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

  • 35、LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

  • 36、PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout

  • 37、Unifying Layout Generation with a Decoupled Diffusion Model

  • 38、Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation

六、医学图像

  • 39、High-resolution image reconstruction with latent diffusion models from human brain activity

  • 40、 Leveraging GANs for data scarcity of COVID-19: Beyond the hype

  • 41、Why is the winner the best?

  • 45、Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

七、人脸相关

  • 46、A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images

  • 47、DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration

  • 48、DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

  • 49、Fine-Grained Face Swapping via Regional GAN Inversion

  • 50、SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage

八、3D相关

  • 51、3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

  • 52、Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

  • 53、GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds

  • 54、GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

  • 55、Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images

  • 56、HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images

  • 57、Learning 3D-aware Image Synthesis with Unknown Pose Distribution

  • 58、Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field

  • 59、Magic3D: High-Resolution Text-to-3D Content Creation

  • 60、NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images

  • 61、NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models

  • 62、Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

  • 63、SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

  • 64、SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

  • 65、Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

  • 66、T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

  • 67、TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

九、deepfake检测

  • 68、Detecting and Grounding Multi-Modal Media Manipulation

十、图像超分

  • 69、Activating More Pixels in Image Super-Resolution Transformer

  • 70、Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

  • 71、Implicit Diffusion Models for Continuous Super-Resolution

  • 72、Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation

  • 73、Structured Sparsity Learning for Efficient Video Super-Resolution

  • 74、Super-Resolution Neural Operator

  • 75、Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

十一、风格迁移

  • 76、CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

  • 77、Inversion-Based Style Transfer with Diffusion Models

  • 78、Neural Preset for Color Style Transfer

十二、去雨去噪去模糊

  • 79、Learning A Sparse Transformer Network for Effective Image Deraining

  • 80、Masked Image Training for Generalizable Deep Image Denoising

  • 81、Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior

十三、图像分割

  • 82、DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation

  • 83、Generative Semantic Segmentation

  • 84、Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs

  • 85、Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

十四、视频相关

  • 86、A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

  • 87、A Unified Pyramid Recurrent Network for Video Frame Interpolation

  • 88、Conditional Image-to-Video Generation with Latent Flow Diffusion Models

  • 89、Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

  • 90、Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

  • 91、MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

  • 92、MOSO: Decomposing MOtion, Scene and Object for Video Prediction

  • 93、Text-Visual Prompting for Efficient 2D Temporal Video Grounding

  • 94、Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

  • 95、Video Probabilistic Diffusion Models in Projected Latent Space

  • 96、VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

十五、对抗攻击

  • 97、Adversarial Attack with Raindrops

  • 98、TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

十六、扩散模型改进

  • 99、All are Worth Words: A ViT Backbone for Diffusion Models

  • 100、Towards Practical Plug-and-Play Diffusion Models

  • 101、Wavelet Diffusion Models are fast and scalable Image Generators

十七、数据增广

  • 102、DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

  • 103、Leveraging GANs for data scarcity of COVID-19: Beyond the hype

  • 104、Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field

十八、说话人生成

  • 105、MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

  • 106、Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

十九、视图合成

  • 107、Consistent View Synthesis with Pose-Guided Diffusion Models

二十、目标检测

  • 108、Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains

二十一、人像生成-姿态迁移

  • 109、Person Image Synthesis via Denoising Diffusion Model

  • 110、VGFlow: Visibility guided Flow Network for Human Reposing

二十二、发型迁移

  • 111、StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer

二十三、图像修复

  • 112、SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model

二十四、表征学习

  • 113、GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds

二十五、语音相关

  • 114、Conditional Generation of Audio from Video via Foley Analogies

  • 115、Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos

  • 116、Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment

二十六、域适应-迁移学习

  • 117、Back to the Source: Diffusion-Driven Test-Time Adaptation

  • 118、Domain Expansion of Image Generators

  • 119、Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

二十七、知识蒸馏

  • 120、KD-DLGAN: Data Limited Image Generation via Knowledge Distillation

二十八、字体生成

  • 121、CF-Font: Content Fusion for Few-shot Font Generation

  • 122、Handwritten Text Generation from Visual Archetypes

二十九、异常检测

  • 123、SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

三十、数据集

  • 124、An Image Quality Assessment Dataset for Portraits

  • 125、CelebV-Text: A Large-Scale Facial Text-Video Dataset

  • 126、Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

  • 127、Uncurated Image-Text Datasets: Shedding Light on Demographic Bias

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