{"total":30,"rows":[{"id":"2204.01697","title":"MaxViT: Multi-Axis Vision Transformer","created":"2022-04-04","cited_by_count":476,"area":null},{"id":"2210.08823","title":"Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning","created":"2022-10-17","cited_by_count":294,"area":null},{"id":"2101.04702","title":"Cross-Modal Contrastive Learning for Text-to-Image Generation","created":"2021-01-12","cited_by_count":259,"area":null},{"id":"2103.10428","title":"Large Scale Image Completion via Co-Modulated Generative Adversarial Networks","created":"2021-03-18","cited_by_count":220,"area":null},{"id":"2203.15270","title":"MAT: Mask-Aware Transformer for Large Hole Image Inpainting","created":"2022-03-29","cited_by_count":218,"area":null},{"id":"2102.07074","title":"TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up","created":"2021-02-14","cited_by_count":162,"area":null},{"id":"2103.05247","title":"Pretrained Transformers as Universal Computation Engines","created":"2021-03-09","cited_by_count":162,"area":null},{"id":"2206.06565","title":"LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks","created":"2022-06-14","cited_by_count":148,"area":null},{"id":"2107.04589","title":"ViTGAN: Training GANs with Vision Transformers","created":"2021-07-09","cited_by_count":110,"area":null},{"id":"2302.11529","title":"Modular Deep Learning","created":"2023-02-22","cited_by_count":83,"area":null},{"id":"2106.07631","title":"Improved Transformer for High-Resolution GANs","created":"2021-06-14","cited_by_count":59,"area":null},{"id":"2106.12673","title":"Conditional Deformable Image Registration with Convolutional Neural Network","created":"2021-06-23","cited_by_count":59,"area":null},{"id":"2401.03395","title":"Deep Learning-based Image and Video Inpainting: A Survey","created":"2024-01-07","cited_by_count":44,"area":null},{"id":"2103.16748","title":"Dual Contrastive Loss and Attention for GANs","created":"2021-03-31","cited_by_count":30,"area":null},{"id":"2107.12815","title":"Adaptive Denoising via GainTuning","created":"2021-07-27","cited_by_count":16,"area":null},{"id":"2207.10670","title":"ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases","created":"2022-07-21","cited_by_count":15,"area":null},{"id":"2104.05077","title":"CoPE: Conditional image generation using Polynomial Expansions","created":"2021-04-11","cited_by_count":12,"area":null},{"id":"2106.08601","title":"Self-Supervised GANs with Label Augmentation","created":"2021-06-16","cited_by_count":9,"area":null},{"id":"2504.13112","title":"Hadamard product in deep learning: Introduction, Advances and Challenges","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2212.08208","title":"Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting","created":"2022-12-16","cited_by_count":7,"area":null},{"id":"2110.01161","title":"Enhance Images as You Like with Unpaired Learning","created":"2021-10-04","cited_by_count":5,"area":null},{"id":"2311.14993","title":"Coordinate-Aware Modulation for Neural Fields","created":"2023-11-25","cited_by_count":4,"area":null},{"id":"2207.10541","title":"Unveiling the Latent Space Geometry of Push-Forward Generative Models","created":"2022-07-21","cited_by_count":3,"area":null},{"id":"2311.11184","title":"Diverse Shape Completion via Style Modulated Generative Adversarial Networks","created":"2023-11-18","cited_by_count":2,"area":null},{"id":"2101.10556","title":"Self Sparse Generative Adversarial Networks","created":"2021-01-26","cited_by_count":1,"area":null},{"id":"2502.01507","title":"End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2103.07751","title":"Unsupervised Image Transformation Learning via Generative Adversarial Networks","created":"2021-03-13","cited_by_count":0,"area":null},{"id":"2305.03977","title":"Unlocking the Power of GANs in Non-Autoregressive Text Generation","created":"2023-05-06","cited_by_count":0,"area":null},{"id":"2605.27893","title":"SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.11131","title":"UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}