Semi-parametric Image Synthesis
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Abstract (arXiv)
We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techniques. The nonparametric component is a memory bank of image segments constructed from a training set of images. Given a novel semantic layout at test time, the memory bank is used to retrieve photographic references that are provided as source material to a deep network. The synthesis is performed by a deep network that draws on the provided photographic material. Experiments on multiple semantic segmentation datasets show that the presented approach yields considerably more realistic images than recent purely parametric techniques. The results are shown in the supplementary video at https://youtu.be/U4Q98lenGLQ
Key facts. Cited by 50 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2018.
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Citing papers per year: 2021: 17; 2022: 15; 2023: 11; 2024: 4; 2025: 2; 2026: 1.
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- 2022Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis8 Oct 2022
- 2022MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation22 Sep 2022
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- 2022PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation24 Jul 2022
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- 2022Deepfake histological images for enhancing digital pathology16 Jun 2022
- 2022TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving31 May 2022
- 2022DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches4 May 2022
- 2022Guided Co-Modulated GAN for 360deg Field of View Extrapolation15 Apr 2022
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- 2022Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis31 Mar 2022
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- 2021Multimodal Image Synthesis and Editing: The Generative AI Era27 Dec 2021
- 2021SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder17 Dec 2021
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- 2021Remember What You have drawn: Semantic Image Manipulation with Memory27 Jul 2021
- 2021Deep Image Synthesis from Intuitive User Input: A Review and Perspectives9 Jul 2021
- 2021SinIR: Efficient General Image Manipulation with Single Image Reconstruction14 Jun 2021
- 2021A multi-stage GAN for multi-organ chest X-ray image generation and segmentation9 Jun 2021
- 2021MOC-GAN: Mixing Objects and Captions to Generate Realistic Images6 Jun 2021
- 2021Enhancing Photorealism Enhancement10 May 2021
- 2021Multi-Modal Fusion Transformer for End-to-End Autonomous Driving19 Apr 2021
- 2021Diverse Semantic Image Synthesis via Probability Distribution Modeling11 Mar 2021
- 2021GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving16 Jan 2021
- 2021Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation4 Jan 2021
- 2022Semantic Image Synthesis via Diffusion Modelscited by 131
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12 most cited of 41 All 41 (JSON)
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- 2024MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance17 Sep 2024
- 2024SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis14 Mar 2024
- 2024PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis4 Mar 2024
- 2023Compositional Servoing by Recombining Demonstrations6 Oct 2023
- 2023Controllable Multi-domain Semantic Artwork Synthesis19 Aug 2023
- 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation2 Aug 2023
- 2023Learning to Generate Training Datasets for Robust Semantic Segmentation1 Aug 2023
- 2023Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis22 Jul 2023
- 2023Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models15 Jun 2023
- 2023Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis31 May 2023
- 2023Controllable Image Generation via Collage Representations26 Apr 2023
12 newest of 41 All 41 (JSON)