Description
Colorization is a self-supervision approach that relies on colorization as the pretext task in order to learn image representations.
Papers Using This Method
MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorization2025-06-21SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization2025-06-04Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model2025-05-24Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization2025-05-21Controllable Image Colorization with Instance-aware Texts and Masks2025-05-13Cobra: Efficient Line Art COlorization with BRoAder References2025-04-16ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities2025-04-09A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery2025-03-29MagicColor: Multi-Instance Sketch Colorization2025-03-21Language-based Image Colorization: A Benchmark and Beyond2025-03-19Image Referenced Sketch Colorization Based on Animation Creation Workflow2025-02-27Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds2025-02-25Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation2025-02-05Consistent Video Colorization via Palette Guidance2025-01-31VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization2025-01-16SwinTExCo: Exemplar-based video colorization using Swin Transformer2025-01-15SVFR: A Unified Framework for Generalized Video Face Restoration2025-01-02Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency2025-01-01AniDoc: Animation Creation Made Easier2024-12-18Enabling Region-Specific Control via Lassos in Point-Based Colorization2024-12-18