Awesome Image Generation

Key papers

• Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows (2021)
  Ze Liu, Yutong Lin, Yue Cao, et al.
  38.40
• Pointrend: Image Segmentation As Rendering (2019)
  Alexander Kirillov, Yuxin Wu, Kaiming He, et al.
  31.23
• Multi-stage Progressive Image Restoration (2021)
  Syed Waqas Zamir, Aditya Arora, Salman Khan, et al.
  30.61
• Meshed-memory Transformer For Image Captioning (2019)
  Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, et al.
  27.73
• Feedback Network For Image Super-resolution (2019)
  Zhen Li, Jinglei Yang, Zheng Liu, et al.
  26.83
• A Survey On Visual Transformer (2020)
  Kai Han, Yunhe Wang, Hanting Chen, et al.
  26.80
• Unified Vision-language Pre-training For Image Captioning And VQA (2019)
  Luowei Zhou, Hamid Palangi, Lei Zhang, et al.
  25.70
• Masked-attention Mask Transformer For Universal Image Segmentation (2021)
  Bowen Cheng, Ishan Misra, Alexander G. Schwing, et al.
  25.69
• Multimodal Unsupervised Image-to-image Translation (2018)
  Xun Huang, Ming-Yu Liu, Serge Belongie, et al.
  24.00
• Aggregated Contextual Transformations For High-resolution Image Inpainting (2021)
  Yanhong Zeng, Jianlong Fu, Hongyang Chao, et al.
  23.46
• Pixelnerf: Neural Radiance Fields From One Or Few Images (2020)
  Alex Yu, Vickie Ye, Matthew Tancik, et al.
  23.45
• Dual-level Collaborative Transformer For Image Captioning (2021)
  Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, et al.
  22.95
• Going Deeper With Image Transformers (2021)
  Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, et al.
  22.35
• Resolution-robust Large Mask Inpainting With Fourier Convolutions (2021)
  Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, et al.
  22.23
• Vision Transformer With Deformable Attention (2022)
  Zhuofan Xia, Xuran Pan, Shiji Song, et al.
  21.78
• Mvsnerf: Fast Generalizable Radiance Field Reconstruction From Multi-view Stereo (2021)
  Anpei Chen, Zexiang Xu, Fuqiang Zhao, et al.
  21.41
• Stableviton: Learning Semantic Correspondence With Latent Diffusion Model For Virtual Try-on (2023)
  Jeongho Kim, Gyojung Gu, Minho Park, et al.
  21.17
• UNISURF: Unifying Neural Implicit Surfaces And Radiance Fields For Multi-view Reconstruction (2021)
  Michael Oechsle, Songyou Peng, Andreas Geiger
  20.65
• Bilateral Reference For High-resolution Dichotomous Image Segmentation (2024)
  Peng Zheng, Dehong Gao, Deng-Ping Fan, et al.
  20.61
• Relaxed Transformer Decoders For Direct Action Proposal Generation (2021)
  Jing Tan, Jiaqi Tang, Limin Wang, et al.
  20.49
• Regionclip: Region-based Language-image Pretraining (2021)
  Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, et al.
  20.18
• Image Segmentation Using Text And Image Prompts (2021)
  Timo Lüddecke, Alexander S. Ecker
  19.96
• Rgb-infrared Cross-modality Person Re-identification Via Joint Pixel And Feature Alignment (2019)
  Guan'An Wang, Tianzhu Zhang, Jian Cheng, et al.
  19.89
• Pluralistic Image Completion (2019)
  Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
  19.71
• Maskgit: Masked Generative Image Transformer (2022)
  Huiwen Chang, Han Zhang, Lu Jiang, et al.
  19.47
• Borrow From Anywhere: Pseudo Multi-modal Object Detection In Thermal Imagery (2019)
  Chaitanya Devaguptapu, Ninad Akolekar, Manuj M Sharma, et al.
  19.25
• Bidirectional Multi-scale Implicit Neural Representations For Image Deraining (2024)
  Xiang Chen, Jinshan Pan, Jiangxin Dong
  19.19
• What Do Single-view 3D Reconstruction Networks Learn? (2019)
  Maxim Tatarchenko, Stephan R. Richter, René Ranftl, et al.
  19.13
• Semantically Multi-modal Image Synthesis (2020)
  Zhen Zhu, Zhiliang Xu, Ansheng You, et al.
  19.03
• Learning To Discover Multi-class Attentional Regions For Multi-label Image Recognition (2020)
  Bin-Bin Gao, Hong-Yu Zhou
  18.95
• LAVT: Language-aware Vision Transformer For Referring Image Segmentation (2021)
  Zhao Yang, Jiaqi Wang, Yansong Tang, et al.
  18.95
• Toward Characteristic-preserving Image-based Virtual Try-on Network (2018)
  Bochao Wang, Huabin Zheng, Xiaodan Liang, et al.
  18.81
• Contextual Residual Aggregation For Ultra High-resolution Image Inpainting (2020)
  Zili Yi, Qiang Tang, Shekoofeh Azizi, et al.
  18.71
• Mixed Transformer U-net For Medical Image Segmentation (2021)
  Hongyi Wang, Shiao Xie, Lanfen Lin, et al.
  18.70
• M2TR: Multi-modal Multi-scale Transformers For Deepfake Detection (2021)
  Junke Wang, Zuxuan Wu, Wenhao Ouyang, et al.
  18.46
• Single-view View Synthesis With Multiplane Images (2020)
  Richard Tucker, Noah Snavely
  18.12
• Cricavpr: Cross-image Correlation-aware Representation Learning For Visual Place Recognition (2024)
  Feng Lu, Xiangyuan Lan, Lijun Zhang, et al.
  18.09
• Cola-net: Collaborative Attention Network For Image Restoration (2021)
  Chong Mou, Jian Zhang, Xiaopeng Fan, et al.
  17.87
• Guided Curriculum Model Adaptation And Uncertainty-aware Evaluation For Semantic Nighttime Image Segmentation (2019)
  Christos Sakaridis, Dengxin Dai, Luc van Gool
  17.82
• Clip-reid: Exploiting Vision-language Model For Image Re-identification Without Concrete Text Labels (2022)
  Siyuan Li, Li Sun, Qingli Li
  17.74
• Uni-paint: A Unified Framework For Multimodal Image Inpainting With Pretrained Diffusion Model (2023)
  Shiyuan Yang, Xiaodong Chen, Jing Liao
  17.73
• Cross-domain Correspondence Learning For Exemplar-based Image Translation (2020)
  Pan Zhang, Bo Zhang, Dong Chen, et al.
  17.55
• Learning Spatial Attention For Face Super-resolution (2020)
  Chaofeng Chen, Dihong Gong, Hao Wang, et al.
  17.40
• Vitaev2: Vision Transformer Advanced By Exploring Inductive Bias For Image Recognition And Beyond (2022)
  Qiming Zhang, Yufei Xu, Jing Zhang, et al.
  17.31
• Efficientsam: Leveraged Masked Image Pretraining For Efficient Segment Anything (2023)
  Yunyang Xiong, Bala Varadarajan, Lemeng Wu, et al.
  17.18
• Dual Contrastive Learning For Unsupervised Image-to-image Translation (2021)
  Junlin Han, Mehrdad Shoeiby, Lars Petersson, et al.
  17.16
• Dark Model Adaptation: Semantic Image Segmentation From Daytime To Nighttime (2018)
  Dengxin Dai, Luc van Gool
  17.14
• Parser-free Virtual Try-on Via Distilling Appearance Flows (2021)
  Yuying Ge, Yibing Song, Ruimao Zhang, et al.
  17.12
• Exploring Smoothness And Class-separation For Semi-supervised Medical Image Segmentation (2022)
  Yicheng Wu, Zhonghua Wu, Qianyi Wu, et al.
  17.00
• Iterative Prompt Learning For Unsupervised Backlit Image Enhancement (2023)
  Zhexin Liang, Chongyi Li, Shangchen Zhou, et al.
  16.88
• Free View Synthesis (2020)
  Gernot Riegler, Vladlen Koltun
  16.80
• SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation (2024)
  Xinyu Xiong et al.
  16.76
• Cross Language Image Matching For Weakly Supervised Semantic Segmentation (2022)
  Jinheng Xie, Xianxu Hou, Kai Ye, et al.
  16.71
• Towards Multi-pose Guided Virtual Try-on Network (2019)
  Haoye Dong, Xiaodan Liang, Bochao Wang, et al.
  16.53
• Scaling Up Vision-language Pre-training For Image Captioning (2021)
  Xiaowei Hu, Zhe Gan, Jianfeng Wang, et al.
  16.49
• Adaptive Token Sampling For Efficient Vision Transformers (2021)
  Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, et al.
  16.45
• Inpainting Transformer For Anomaly Detection (2021)
  Jonathan Pirnay, Keng Chai
  16.45
• Detecting The Unexpected Via Image Resynthesis (2019)
  Krzysztof Lis, Krishna Nakka, Pascal Fua, et al.
  16.39
• Coarse-to-fine Latent Diffusion For Pose-guided Person Image Synthesis (2024)
  Yanzuo Lu, Manlin Zhang, Andy J Ma, et al.
  16.34
• Extreme View Synthesis (2018)
  Inchang Choi, Orazio Gallo, Alejandro Troccoli, et al.
  16.30