InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
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Abstract (arXiv)
We present a novel Transformer-based network architecture for instance-aware image-to-image translation, dubbed InstaFormer, to effectively integrate global- and instance-level information. By considering extracted content features from an image as tokens, our networks discover global consensus of content features by considering context information through a self-attention module in Transformers. By augmenting such tokens with an instance-level feature extracted from the content feature with respect to bounding box information, our framework is capable of learning an interaction between object instances and the global image, thus boosting the instance-awareness. We replace layer normalization (LayerNorm) in standard Transformers with adaptive instance normalization (AdaIN) to enable a multi-modal translation with style codes. In addition, to improve the instance-awareness and translation quality at object regions, we present an instance-level content contrastive loss defined between input and translated image. We conduct experiments to demonstrate the effectiveness of our InstaFormer over the latest methods and provide extensive ablation studies.
Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 61 of its 71 references that are in the map. First posted on arXiv 30 Mar 2022.
Builds on
61 of 71 references.
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50 most cited of 61 All 61 (JSON)
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Citing papers per year: 2022: 3; 2023: 13; 2024: 6; 2025: 5; 2026: 1.
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- 2023Disentangled Contrastive Image Translation for Nighttime Surveillance11 Jul 2023
- 2023Learning Nuclei Representations with Masked Image Modelling29 Jun 2023
- 2023Enhancing Visual Domain Adaptation with Source Preparation16 Jun 2023
- 2023Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors12 May 2023
- 2023Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning8 May 2023
- 2023Panoramic Image-to-Image Translation11 Apr 2023
- 2023AptSim2Real: Approximately-Paired Sim-to-Real Image Translation9 Mar 2023
- 2023Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey17 Feb 2023
- 2023SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation11 Jan 2023
- 2022DSI2I: Dense Style for Unpaired Image-to-Image Translation26 Dec 2022
- 2022Anatomically constrained CT image translation for heterogeneous blood vessel segmentation4 Oct 2022
- 2022LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data31 Aug 2022
- 2025DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understandingcited by 16
- 2024C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generationcited by 8
- 2024Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimationcited by 2
- 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstructioncited by 0
- 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction21 Sep 2025
- 2025DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding24 Mar 2025
- 2024C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation16 Nov 2024
- 2024Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation9 Feb 2024
- 2023Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviorscited by 25
- 2023Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Surveycited by 10
- 2022Anatomically constrained CT image translation for heterogeneous blood vessel segmentationcited by 6
- 2023One-for-All: Towards Universal Domain Translation with a Single StyleGANcited by 6
- 2024Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformerscited by 6
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- 2023RADIO: Reference-Agnostic Dubbing Video Synthesiscited by 2
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12 most cited of 24 All 24 (JSON)
- 2026Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation17 Feb 2026
- 2025BrainPuzzle: Hybrid Physics and Data-Driven Reconstruction for Transcranial Ultrasound Tomography22 Oct 2025
- 2025LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data14 May 2025
- 2025CSHNet: A Novel Information Asymmetric Image Translation Method17 Jan 2025
- 2024Improving Object Detection via Local-global Contrastive Learning7 Oct 2024
- 2024Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data26 Aug 2024
- 2024Transformer-based Image and Video Inpainting: Current Challenges and Future Directions28 Jun 2024
- 2024Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers14 Apr 2024
- 2023One-for-All: Towards Universal Domain Translation with a Single StyleGAN22 Oct 2023
- 2023Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation22 Sep 2023
- 2023Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites12 Sep 2023
- 2023RADIO: Reference-Agnostic Dubbing Video Synthesis5 Sep 2023
12 newest of 24 All 24 (JSON)