Search Results for author:
Found 9 papers, 5 papers with code
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis
In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of that class are missing in the training data.
Ranked #1 on
Sketch-to-Image Translation
on Scribble
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.
Ranked #4 on
Video Frame Interpolation
on Vid4 - 4x upscaling
Space-time Video Super-resolution
Video Frame Interpolation
+1
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
A na\"ive method is to decompose it into two sub-tasks: video frame interpolation (VFI) and video super-resolution (VSR).
Space-time Video Super-resolution
Video Frame Interpolation
+1
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
Besides noise from the imaging sensors, almost every step in the ISP introduces or amplifies noise in different ways, and denoising operators are designed to reduce the noise from these sources.
Training a universal instance segmentation network for live cell images of various cell types and imaging modalities
We share our recent findings in an attempt to train a universal segmentation network for various cell types and imaging modalities.
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning
Experimental results with a variety of document images demonstrate that our method improves the image quality compared with the observed image, and simultaneously improves the compression ratio.
Multi-View Matching Network for 6D Pose Estimation
Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
In this paper, we aim to generate an artifact-free high-resolution image from a low-resolution one compressed with an arbitrary quality factor by exploring joint compression artifacts reduction (CAR) and super-resolution (SR) tasks.
Face Image Lighting Enhancement Using a 3D Model
Finally, we generate an illuminance-balanced face image from a single view.
