Results 271 to 280 of about 2,767,284 (348)
Some of the next articles are maybe not open access.
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
IEEE International Conference on Computer Vision, 2023Despite tremendous progress in generating high-quality images using diffusion models, synthesizing a sequence of animated frames that are both photorealistic and temporally coherent is still in its infancy.
Songwei Ge +9 more
semanticscholar +1 more source
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
International Conference on Learning Representations, 2023With the availability of large-scale video datasets and the advances of diffusion models, text-driven video generation has achieved substantial progress.
Haonan Qiu +6 more
semanticscholar +1 more source
Deep Unfolding Network for Efficient Mixed Video Noise Removal
IEEE transactions on circuits and systems for video technology (Print), 2023Existing image and video denoising algorithms have focused on removing homogeneous Gaussian noise. However, this assumption with noise modeling is often too simplistic for the characteristics of real-world noise.
Lu Sun +5 more
semanticscholar +1 more source
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Computer Vision and Pattern Recognition, 2023A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising process to generate new samples, has been shown to handle complex data distribution. Despite its
Zhengxiong Luo +8 more
semanticscholar +1 more source
Noise Estimation in Video Surveillance Systems [PDF]
2009 WRI World Congress on Computer Science and Information Engineering, 2009 Noise estimation plays an important role in the evaluation of video quality. In video surveillance systems, noise is mainly introduced by the camera and the quantization process. This paper proposes a method to estimate the noise in video communication systems.
Tang Hui-ming, Lu Chao, Li Jin-chao
openaire +1 more source
Channel noise and correlation noise of video sequences in distributed video coding
2011 21st International Conference on Noise and Fluctuations, 2011Distributed video coding (DVC) is defined such as a correlated video sequence is transmitted via the distributed independent encoders, and it can be decoded conditionally at the decoder. In the DVC coding, if an encoder encodes the video frame X and the side information Y is at the decoder, where the side information is computed using the adjacent ...
Kuganeswaran Thambu +2 more
openaire +2 more sources
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
European Conference on Computer Vision, 2023We present Emu Video, a text-to-video generation model that factorizes the generation into two steps: first generating an image conditioned on the text, and then generating a video conditioned on the text and the generated image.
Rohit Girdhar +9 more
semanticscholar +1 more source
Comfort noise for compressed video
2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE., 2005Similar to adding a dither signal to still images to hide contouring, a dither signal may be added to decompressed video prior to display to hide video compression artifacts such as blockiness. We propose that the added "comfort noise" be temporally correlated to reduce the perceived noisiness.
Alexis Michael Tourapis +1 more
openaire +2 more sources
Differential Video Noise Estimation
2006 International Conference on Communication Technology, 2006In this paper, we propose a fast and reliable white- noise variance estimation. The method subtracts two sequential frames of video first and then finds intensity-homogeneous blocks in both original image and differential image, and at last estimates the noise variance in these blocks by a Gaussian weighted averaging process.
Zhu Lei, Xu Peixia
openaire +2 more sources