Towards coherent image inpainting using denoising diffusion implicit models
Image inpainting refers to the task of generating a complete, natural image based on a
partially revealed reference image. Recently, many research interests have been focused on …
partially revealed reference image. Recently, many research interests have been focused on …
Ipo-ldm: Depth-aided 360-degree indoor rgb panorama outpainting via latent diffusion model
Generating complete 360-degree panoramas from narrow field of view images is ongoing
research as omnidirectional RGB data is not readily available. Existing GAN-based …
research as omnidirectional RGB data is not readily available. Existing GAN-based …
MaGIC: Multi-modality Guided Image Completion
Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed
to the limited availability of reference information for plausible generation. To mitigate this …
to the limited availability of reference information for plausible generation. To mitigate this …
Magic: Multi-modality guided image completion
Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed
to the limited availability of reference information for plausible generation. To mitigate this …
to the limited availability of reference information for plausible generation. To mitigate this …
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
M El Helou - 2023 IEEE International Conference on Image …, 2023 - ieeexplore.ieee.org
Image diffusion has recently shown remarkable performance in image synthesis and
implicitly as an image prior. Such a prior has been used with conditioning to solve the …
implicitly as an image prior. Such a prior has been used with conditioning to solve the …
Survey on diverse image inpainting using diffusion models
S Parida, V Srinivas, B Jain, R Naik… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Image inpainting (or Image completion) is the process of reconstructing lost or corrupted
parts of images. It can be used to fill in missing or corrupted parts of an image, such as …
parts of images. It can be used to fill in missing or corrupted parts of an image, such as …
Training-Free Sketch-Guided Diffusion with Latent Optimization
Based on recent advanced diffusion models, Text-to-image (T2I) generation models have
demonstrated their capabilities in generating diverse and high-quality images. However …
demonstrated their capabilities in generating diverse and high-quality images. However …
[引用][C] 基于深度学习的图像修复方法研究综述
彭进业， 余喆， 屈书毅， 胡琦瑶… - 西北大学学报(自然科学版), 2024 - xdxbzk.nwu.edu.cn
图像修复是指通过使用计算机算法和图像处理技术还原损坏, 缺失或被破坏的图像区域,
其目标是使修复后的图像在视觉上具有合理的结构, 纹理和连贯性, 并且尽可能与原始图像的 …
其目标是使修复后的图像在视觉上具有合理的结构, 纹理和连贯性, 并且尽可能与原始图像的 …