Search Results for author:
Found 7 papers, 2 papers with code
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
In particular, we use a motion estimation network to capture motion information from neighborhoods, thereby adaptively estimating spatially-variant motion flow, mask, kernels, weights, and offsets to obtain the MISC Filter.
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
The pixel array of light-emitting diodes used for display diffracts and attenuates incident light, causing various degradations as the light intensity changes.
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras
In this paper, we introduce a new perspective to handle various diffraction in UDC images by jointly exploring the feature restoration in the frequency and spatial domains, and present a Frequency and Spatial Interactive Learning Network (FSI).
CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection
For better category-level feature alignment, we propose a novel DAOD framework of joint category and scale information, dubbed CSDA, such a design enables effective object learning for different scales.
4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement
In particular, we first introduce a lightweight context encoder and a parameter encoder to learn a context map for the pixel-level category and a group of image-adaptive coefficients, respectively.
Ranked #7 on
Image Enhancement
on MIT-Adobe 5k
(SSIM on proRGB metric)
TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation
In particular, we formulate the warped features with inconsistent motions as query tokens, and formulate relevant regions in a motion trajectory from two original consecutive frames into keys and values.
Learning Trajectory-Aware Transformer for Video Super-Resolution
Existing approaches usually align and aggregate video frames from limited adjacent frames (e. g., 5 or 7 frames), which prevents these approaches from satisfactory results.
Ranked #4 on
Video Super-Resolution
on UDM10 - 4x upscaling
