High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, +2

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

EngineeringMachine LearningLatent Diffusion ModelsAutoencodersImage Analysis +19

A ConvNet for the 2020s

Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, +3

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Restormer: Efficient Transformer for High-Resolution Image Restoration

Syed Waqas Zamir, Aditya Arora, Salman Khan, +3

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Convolutional Neural NetworkEngineeringMachine LearningDeblurringImage Analysis +15

Swin Transformer V2: Scaling Up Capacity and Resolution

Ze Liu, Han Hu, Yutong Lin, +9

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Convolutional Neural NetworkHigh ResolutionEngineeringMachine LearningSwin Transformer V2 +16

Uformer: A General U-Shaped Transformer for Image Restoration

Zhendong Wang, Xiaodong Cun, Jianmin Bao, +3

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

EngineeringMachine LearningDeblurringImage AnalysisPattern Recognition +15

Video Swin Transformer

Ze Liu, Ning Jia, Yue Cao, +4

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Convolutional Neural NetworkEngineeringMachine LearningAction Recognition (Movement Science)Video Processing +16

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Jonathan T. Barron, Ben Mildenhall, Dor Verbin, +2

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

EngineeringDepth MapDetailed Depth MapsImage AnalysisDifferentiable Rendering +14

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Andreas Lugmayr, Martin Danelljan, Andrés Romero, +3

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

EngineeringMachine LearningDiffusion Probabilistic ModelsArbitrary Binary MaskImage Analysis +16

Conditional Prompt Learning for Vision-Language Models

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, +1

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Natural Language ProcessingMultimodal LlmConditional Prompt LearningMachine LearningEngineering +13

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

Xiaohan Ding, Xiangyu Zhang, Jungong Han, +1

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Large Kernel DesignKernel SizeMachine VisionMachine LearningData Science +9