Referring Video Inpainting
M Lee, M Kang, S Lee - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
… referred to in a video, adding a linguistic dimension to the problem. Video inpainting, also
known as video … Its overarching goal is to fill in missing regions of a given video sequence, …
known as video … Its overarching goal is to fill in missing regions of a given video sequence, …
Towards language-driven video inpainting via multimodal large language models
… However, we find existing referring expressions for interactive video inpainting tasks too
simplistic. To address this limitation, we employ Multimodal Large Language Models (MLLMs) [3…
simplistic. To address this limitation, we employ Multimodal Large Language Models (MLLMs) [3…
Video inpainting under constrained camera motion
KA Patwardhan, G Sapiro… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
… video inpainting step, we reconstruct moving objects in the foreground that are “occluded” by
the region to be inpainted… All the videos referred to in this section have been captured using …
the region to be inpainted… All the videos referred to in this section have been captured using …
G2LP-Net: Global to local progressive video inpainting network
… Image Inpainting Image inpainting [20], [21], [22] refers to fill … for video inpainting and formulated
the video inpainting … and the target frame are inpainted simultaneously to achieve better …
the video inpainting … and the target frame are inpainted simultaneously to achieve better …
An internal learning approach to video inpainting
… In particular, we compare our final method, referred to as DIP-Vid-Flow, with the following
baselines: DIP: This baseline directly applies the ‘Deep Image Prior’ framework [40] to …
baselines: DIP: This baseline directly applies the ‘Deep Image Prior’ framework [40] to …
Prior guided gan based semantic inpainting
… Note, in this paper, by video inpainting we are referring to damaged regions of a frame. In …
We also compare against recent video inpainting frameworks of CombCN [40], 3DGated [9] …
We also compare against recent video inpainting frameworks of CombCN [40], 3DGated [9] …
Short-term and long-term context aggregation network for video inpainting
… refers to the current input frame under inpainting.). Furthermore, we propose dynamic
long-term context aggregation to globally refine the feature map generated in the encoding stage …
long-term context aggregation to globally refine the feature map generated in the encoding stage …
Deep learning-based image and video inpainting: A survey
… Video is composed of multiple images exhibiting temporal coherence, therefore, video inpainting
is closely related to image inpainting, … review image and video inpainting in this survey, …
is closely related to image inpainting, … review image and video inpainting in this survey, …
Dvi: Depth guided video inpainting for autonomous driving
… to two neighboring pixels, and is normally referred to as the discontinuity cost. \(D_p(l_p)\)
is the cost of assigning label \(l_p\) to pixel p, which is referred to as the data cost. Determining …
is the cost of assigning label \(l_p\) to pixel p, which is referred to as the data cost. Determining …
Efficient Object-grained Video Inpainting with Personalized Recovery and Permission Control
H Yu, J Hou, L Zhang, S Liu… - 2024 IEEE/ACM 32nd …, 2024 - ieeexplore.ieee.org
… We propose an Object-grained Video Inpainting (OVI) mechanism with personalized …
generalized to existing inpainting methods. In OVI, a trusted video server performs inpainting-based …
generalized to existing inpainting methods. In OVI, a trusted video server performs inpainting-based …
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