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Found 10 papers, 2 papers with code
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer
To leverage the advantages of both attention and flow simultaneously, we propose Wavelet-aware Image-based Pose Transfer (WaveIPT) to fuse the attention and flow in the wavelet domain.
Thermal Infrared Image Inpainting via Edge-Aware Guidance
In this paper, we propose a novel task -- Thermal Infrared Image Inpainting, which aims to reconstruct missing regions of TIR images.
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
Human pose transfer aims at transferring the appearance of the source person to the target pose.
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
In this paper, we focus on person image generation, namely, generating person image under various conditions, e. g., corrupted texture or different pose.
GraphAttacker: A General Multi-Task GraphAttack Framework
To address this problem, we propose GraphAttacker, a novel generic graph attack framework that can flexibly adjust the structures and the attack strategies according to the graph analysis tasks.
A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture
The separation of the data capture and analysis in modern vision systems has led to a massive amount of data transfer between the end devices and cloud computers, resulting in long latency, slow response, and high power consumption.
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Although existing GAN-based HVMT methods have achieved great success, they either fail to preserve appearance details due to the loss of spatial consistency between synthesized and exemplary images, or generate incoherent video results due to the lack of temporal consistency among video frames.
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video
In this paper, we propose a video compression method that extracts and compresses the foreground and background of the video separately.
A GAN-based Tunable Image Compression System
The method of importance map has been widely adopted in DNN-based lossy image compression to achieve bit allocation according to the importance of image contents.
GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
Therefore, each trained model can only generate videos with a specific scene appearance, new models are required to be trained to generate new appearances.
