… To perform image outpainting by utilizing the hidden information in the shadows, we … 2,
given an input image, we first conduct shadow extraction to obtain those shadow regions …

… In no-shadow environments, we provide no complementary information for image
outpainting, which is thus unhelpful. Second, our approach depends on the performance of the …

… video outpainting. With the predicted spatiotemporal guidance, we perform video outpainting
with … Our outpainting module builds on a pre-trained image LDM [29], whose autoencoder, …

… outpaint a video by denoising windows that covering the entire video. To accelerate the
generation process, we perform window outpainting in … image/video is the core of the outpainting …

… We introduce GaMO (Geometry-aware Multi-view Outpainter), a framework that reformulates
sparse-view reconstruction through multi-view outpainting. Instead of generating new …

… This approach is specifically designed to enable effective outpainting of occluded areas, …
structures through outpainting, effectively broadening the viewable area in medical imaging. …

We introduce Preserve Anything, a novel method for con-trolled image synthesis that
addresses key limitations in ob-ject preservation and semantic consistency in text-to-image (T2I) …

… Shadowenlightened image outpainting. In Proceedings of the IEEE/CVF Conference on
Computer Vision and Pattern Recognition, pages 7850–7860, 2024. 6 [69] Hong-Xing Yu, Haoyi …

… that focus on warping images frame by frame, … -image diffusion model for high-quality image
generation and generalization ability. To further enhance the fidelity of the generated images…

This paper introduces a novel Convolutional Neural Network (CNN) architecture for image
colorization. We review existing research, identifying key progress and persistent challenges …