WebDeepfake aims to swap a face of an image with someone else’s likeness in a reasonable manner. Existing methods usually perform deepfake frame by frame, thus ignoring video consistency and producing incoherent results. To address such a problem, we propose a novel framework Neural Identity Carrier (NICe), which learns identity … WebMar 12, 2024 · When trying to independently apply image-trained algorithms to successive frames in videos, noxious flickering tends to appear. State-of-the-art post-processing techniques that aim at fostering temporal consistency, generate other temporal artifacts and visually alter the style of videos. We propose a postprocessing model, agnostic to …
Blind Video Temporal Consistency via Deep Video Prior
WebOct 12, 2024 · Request PDF On Oct 12, 2024, Yifeng Zhou and others published Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal … WebWe describe a more general approach to temporal consistency. We propose a gradientdomain technique that is blind to the particular image processing algorithm. Our technique takes a series of processed frames that suffers from flickering and generates a temporally-consistent video sequence. The core of our solution is to infer the temporal ... spotty plates
Temporal Denoising Mask Synthesis Network for Learning Blind Video ...
WebOct 17, 2024 · In this paper, we investigated the temporal properties of the kernels and highlighted its importance in the task of blind video super-resolution. Specifically, we … WebAug 1, 2024 · Learning Blind Video Temporal Consistency. Applying image processing algorithms independently to each frame of a video often leads to undesired inconsistent … WebApplying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel … spotty nose treatment