{"total":20,"rows":[{"id":"2406.17758","title":"MotionBooth: Motion-Aware Customized Text-to-Video Generation","created":"2024-06-25","cited_by_count":93,"area":null},{"id":"2401.02955","title":"Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively","created":"2024-01-05","cited_by_count":75,"area":null},{"id":"2311.03355","title":"SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis","created":"2023-11-06","cited_by_count":18,"area":null},{"id":"2405.10185","title":"DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data","created":"2024-05-16","cited_by_count":15,"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":"2406.02435","title":"Generative Active Learning for Long-tailed Instance Segmentation","created":"2024-06-04","cited_by_count":10,"area":null},{"id":"2502.08960","title":"A Comprehensive Survey on Imbalanced Data Learning","created":"2025-02-13","cited_by_count":10,"area":null},{"id":"2403.12003","title":"GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning","created":"2024-03-18","cited_by_count":9,"area":null},{"id":"2310.14374","title":"OV-VG: A Benchmark for Open-Vocabulary Visual Grounding","created":"2023-10-22","cited_by_count":7,"area":null},{"id":"2408.00106","title":"WAS: Dataset and Methods for Artistic Text Segmentation","created":"2024-07-31","cited_by_count":5,"area":null},{"id":"2403.18334","title":"DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2405.19854","title":"RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2407.15296","title":"Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection","created":"2024-07-21","cited_by_count":3,"area":null},{"id":"2501.02048","title":"DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2606.00571","title":"On the Difficulty of Learning a Meta-network for Training Data Selection","created":"2026-05-30","cited_by_count":2,"area":null},{"id":"2412.00684","title":"Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding","created":"2024-12-01","cited_by_count":1,"area":null},{"id":"2504.17076","title":"Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2505.17695","title":"SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2605.05627","title":"Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2607.08201","title":"TMI: Text-to-Image Meets Image-to-Image for Complementary Data Synthesis to Boost Long-Tailed Instance Segmentation","created":"2026-07-09","cited_by_count":1,"area":null}],"next_cursor":null}