VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet

Recently, diffusion models like StableDiffusion have achieved impressive image generation results. However, the generation process of such diffusion models is uncontrollable, which makes it hard to generate videos with continuous and consistent content. In this work, by using the diffusion model with ControlNet, we proposed a new motion-guided video-to-video translation framework called VideoControlNet to generate various videos based on the given prompts and the condition from the input video. Inspired by the video codecs that use motion information for reducing temporal redundancy, our framework uses motion information to prevent the regeneration of the redundant areas for content consistency. Specifically, we generate the first frame (i.e., the I-frame) by using the diffusion model with ControlNet. Then we generate other key frames (i.e., the P-frame) based on the previous I/P-frame by using our newly proposed motion-guided P-frame generation (MgPG) method, in which the P-frames are generated based on the motion information and the occlusion areas are inpainted by using the diffusion model. Finally, the rest frames (i.e., the B-frame) are generated by using our motion-guided B-frame interpolation (MgBI) module. Our experiments demonstrate that our proposed VideoControlNet inherits the generation capability of the pre-trained large diffusion model and extends the image diffusion model to the video diffusion model by using motion information. More results are provided at our project page

Structural Analysis of Network Traffic Matrix via Relaxed Principal Component Pursuit

The network traffic matrix is widely used in network operation and management. It is therefore of crucial importance to analyze the components and the structure of the network traffic matrix, for which several mathematical approaches such as Principal Component Analysis (PCA) were proposed. In this paper, we first argue that PCA performs poorly for analyzing traffic matrix that is polluted by large volume anomalies, and then propose a new decomposition model for the network traffic matrix. According to this model, we carry out the structural analysis by decomposing the network traffic matrix into three sub-matrices, namely, the deterministic traffic, the anomaly traffic and the noise traffic matrix, which is similar to the Robust Principal Component Analysis (RPCA) problem previously studied in [13]. Based on the Relaxed Principal Component Pursuit (Relaxed PCP) method and the Accelerated Proximal Gradient (APG) algorithm, we present an iterative approach for decomposing a traffic matrix, and demonstrate its efficiency and flexibility by experimental results. Finally, we further discuss several features of the deterministic and noise traffic. Our study develops a novel method for the problem of structural analysis of the traffic matrix, which is robust against pollution of large volume anomalies.Comment: Accepted to Elsevier Computer Network

Neuroprotective Effect of Insulin-like Growth Factor-II on 1- Methyl-4-Phenyl Pyridinium-Induced Oxidative Damage in Cortical Neuronal Cells

Purpose: To evaluate the receptor-mediated neuroprotective effect of insulin-like growth factor-II (IGFII) on 1-methyl-4-phenyl pyridinium (MPP) induced oxidative damage in adult cortical neuronal cultures.Methods: Adult rats were randomly divided into 5 groups. Cortical neurons were prepared from rats. The cells were exposed to 10 μM of MPP (group 1, G1); MPP + 100 ng/mL of IGF-II (group 2, G2); MPP + IGF in the presence of 20 ng/μL IGF-I analogue (group 3; G3); 5 ng/μL anti-IGF-IIR (group 4; G4); or MPP + IGF II + IGF inhibitor (group 5; G5). The level of reactive oxygen species (ROS), levels of oxidative stress markers, antioxidant enzymes, mitochondrial functional markers were analyzed in the MPP-treated neuronal cells (with or without treatment with IGF-II).Results: The results demonstrate that IGF-II treatment protects MPP-induced toxicity by decreasing ROS production (58.33 %; p ˂ 0.001), AChE levels (50 %), and maintaining the innate antioxidants to near normal levels. The study on oxidative functional markers showed that IGF-II significantly decreased the MPP-induced elevated levels and mitochondrial markers (TBARS, 40 %, LOOH-39.28 %) to near normal levels. Further analysis using inhibitors of IGF-IR (IGF-I analogue) and IGF-IIR (anti- IGF-IIR) showed that involvement of IGF-IIR might have greatly contributed to the neuroprotective effect of IGF-II.Conclusion: IGF-II receptors play a significant role in the neuroprotective mechanism of IGF-II by acting as an antioxidant, thereby reducing the neuro-degeneration induced by oxidative insults. This indicates that IGF-II receptors are a potential target for the treatment of diseases related to imbalance in redox homeostasis.Keywords: Insulin-like Growth Factor-II, Neuronal Cells, 1-Methyl-4-phenyl Pyridinium, Mitochondrial Markers, Oxidative Stress, Neuroprotection, Antioxidan

Moment of Inertia for Axisymmetric Neutron Stars in the Standard-Model Extension

We develop a consistent approach to calculate the moment of inertia (MOI) for axisymmetric neutron stars (NSs) in the Lorentz-violating Standard-Model Extension (SME) framework. To our knowledge, this is the first relativistic MOI calculation for axisymmetric NSs in a Lorentz-violating gravity theory other than deformed, rotating NSs in the General Relativity. Under Lorentz violation, there is a specific direction in the spacetime and NSs get stretched or compressed along that direction. When a NS is spinning stationarily along this direction, a conserved angular momentum and the concept of MOI are well defined. In the SME framework, we calculate the partial differential equation governing the rotation and solve it numerically with the finite element method to get the MOI for axisymmetric NSs caused by Lorentz violation. Besides, we study an approximate case where the correction to the MOI is regarded solely from the deformation of the NS and compare it with its counterpart in the Newtonian gravity. Our formalism and the numerical method can be extended to other theories of gravity for static axisymmetric NSs.Comment: 9 pages, 3 figure