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Found 5 papers, 2 papers with code
Leveraging Contrast Information for Efficient Document Shadow Removal
Document shadows are a major obstacle in the digitization process.
DIVE: Taming DINO for Subject-Driven Video Editing
Specifically, to ensure temporal motion consistency, DIVE employs DINO features to align with the motion trajectory of the source video.
Diffusion Model-Based Image Editing: A Survey
In this survey, we provide an exhaustive overview of existing methods using diffusion models for image editing, covering both theoretical and practical aspects in the field.
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
To tackle these issues, we propose GPT4Motion, a training-free framework that leverages the planning capability of large language models such as GPT, the physical simulation strength of Blender, and the excellent image generation ability of text-to-image diffusion models to enhance the quality of video synthesis.
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem.
