{"total":58,"rows":[{"id":"2305.10973","title":"Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold","created":"2023-05-18","cited_by_count":219,"area":null},{"id":"2309.14303","title":"Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation","created":"2023-09-25","cited_by_count":112,"area":null},{"id":"2106.05258","title":"Generative Models as a Data Source for Multiview Representation Learning","created":"2021-06-09","cited_by_count":104,"area":null},{"id":"2305.16289","title":"Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation","created":"2023-05-25","cited_by_count":100,"area":null},{"id":"2201.04684","title":"BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations","created":"2022-01-12","cited_by_count":99,"area":null},{"id":"2106.05963","title":"Learning to See by Looking at Noise","created":"2021-06-10","cited_by_count":92,"area":null},{"id":"2112.05219","title":"CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions","created":"2021-12-09","cited_by_count":78,"area":null},{"id":"2110.08398","title":"Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks","created":"2021-10-15","cited_by_count":68,"area":null},{"id":"2305.02310","title":"Real-Time Radiance Fields for Single-Image Portrait View Synthesis","created":"2023-05-03","cited_by_count":64,"area":null},{"id":"2112.05143","title":"GAN-Supervised Dense Visual Alignment","created":"2021-12-09","cited_by_count":62,"area":null},{"id":"2111.06349","title":"Unsupervised Part Discovery from Contrastive Reconstruction","created":"2021-11-11","cited_by_count":57,"area":null},{"id":"2104.14551","title":"Ensembling with Deep Generative Views","created":"2021-04-29","cited_by_count":53,"area":null},{"id":"2202.14020","title":"State-of-the-Art in the Architecture, Methods and Applications of StyleGAN","created":"2022-02-28","cited_by_count":34,"area":null},{"id":"2208.12408","title":"User-Controllable Latent Transformer for StyleGAN Image Layout Editing","created":"2022-08-26","cited_by_count":28,"area":null},{"id":"2301.00954","title":"PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation","created":"2023-01-03","cited_by_count":19,"area":null},{"id":"2308.12288","title":"CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images","created":"2023-08-23","cited_by_count":19,"area":null},{"id":"2312.13783","title":"Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection","created":"2023-12-21","cited_by_count":19,"area":null},{"id":"2210.13835","title":"Synthetic Data Supervised Salient Object Detection","created":"2022-10-25","cited_by_count":15,"area":null},{"id":"2305.16804","title":"Towards Open-World Segmentation of Parts","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2504.12080","title":"DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency","created":"2025-04-16","cited_by_count":15,"area":null},{"id":"2112.00854","title":"GANORCON: Are Generative Models Useful for Few-shot Segmentation?","created":"2021-12-01","cited_by_count":13,"area":null},{"id":"2310.01830","title":"AI-Generated Images as Data Source: The Dawn of Synthetic Era","created":"2023-10-03","cited_by_count":13,"area":null},{"id":"2204.05393","title":"Improving Few-Shot Part Segmentation using Coarse Supervision","created":"2022-04-11","cited_by_count":10,"area":null},{"id":"2305.11102","title":"Progressive Learning of 3D Reconstruction Network from 2D GAN Data","created":"2023-05-18","cited_by_count":10,"area":null},{"id":"2312.04364","title":"DemoCaricature: Democratising Caricature Generation with a Rough Sketch","created":"2023-12-07","cited_by_count":10,"area":null},{"id":"2212.09735","title":"Correspondence Distillation from NeRF-based GAN","created":"2022-12-19","cited_by_count":8,"area":null},{"id":"2305.03051","title":"Controllable Visual-Tactile Synthesis","created":"2023-05-04","cited_by_count":8,"area":null},{"id":"2303.09677","title":"Instance-Conditioned GAN Data Augmentation for Representation Learning","created":"2023-03-16","cited_by_count":7,"area":null},{"id":"2410.18538","title":"SMITE: Segment Me In TimE","created":"2024-10-24","cited_by_count":7,"area":null},{"id":"2303.17216","title":"Few-shot Geometry-Aware Keypoint Localization","created":"2023-03-30","cited_by_count":6,"area":null},{"id":"2406.08810","title":"Few-Shot Anomaly Detection via Category-Agnostic Registration Learning","created":"2024-06-13","cited_by_count":6,"area":null},{"id":"2211.16710","title":"Extracting Semantic Knowledge from GANs with Unsupervised Learning","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2309.13822","title":"PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition","created":"2023-09-25","cited_by_count":5,"area":null},{"id":"2407.07627","title":"Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2207.13428","title":"Leveraging GAN Priors for Few-Shot Part Segmentation","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2209.07547","title":"One-Shot Synthesis of Images and Segmentation Masks","created":"2022-09-15","cited_by_count":4,"area":null},{"id":"2210.05952","title":"3D Brain and Heart Volume Generative Models: A Survey","created":"2022-10-12","cited_by_count":4,"area":null},{"id":"2311.06224","title":"Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization","created":"2023-11-10","cited_by_count":4,"area":null},{"id":"2311.18661","title":"Learning Part Segmentation from Synthetic Animals","created":"2023-11-30","cited_by_count":4,"area":null},{"id":"2411.16719","title":"Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation","created":"2024-11-23","cited_by_count":4,"area":null},{"id":"2206.02903","title":"Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps","created":"2022-06-06","cited_by_count":3,"area":null},{"id":"2211.03003","title":"Learning to Annotate Part Segmentation with Gradient Matching","created":"2022-11-06","cited_by_count":3,"area":null},{"id":"2304.05832","title":"Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2308.12757","title":"PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning","created":"2023-08-24","cited_by_count":3,"area":null},{"id":"2402.14395","title":"Semantic Image Synthesis with Unconditional Generator","created":"2024-02-22","cited_by_count":3,"area":null},{"id":"2407.06795","title":"CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching","created":"2024-07-09","cited_by_count":3,"area":null},{"id":"2204.09015","title":"Dual-Domain Image Synthesis using Segmentation-Guided GAN","created":"2022-04-19","cited_by_count":2,"area":null},{"id":"2303.05639","title":"Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2406.12368","title":"MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2505.19495","title":"The Role of Video Generation in Enhancing Data-Limited Action Understanding","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2203.11173","title":"Interpreting Class Conditional GANs with Channel Awareness","created":"2022-03-21","cited_by_count":1,"area":null},{"id":"2302.14533","title":"DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2303.06652","title":"Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network","created":"2023-03-12","cited_by_count":1,"area":null},{"id":"2304.04291","title":"ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis","created":"2023-04-09","cited_by_count":1,"area":null},{"id":"2406.05923","title":"Contrastive Learning from Synthetic Audio Doppelg\\\"angers","created":"2024-06-09","cited_by_count":1,"area":null},{"id":"2503.14958","title":"Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2211.03000","title":"Distilling Representations from GAN Generator via Squeeze and Span","created":"2022-11-06","cited_by_count":0,"area":null},{"id":"2409.16865","title":"Linking in Style: Understanding learned features in deep learning models","created":"2024-09-25","cited_by_count":0,"area":null}],"next_cursor":null}