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08/16/2021
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
The classic Monte Carlo path tracing can achieve high quality rendering ...
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08/12/2021
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
Recent research has witnessed advances in facial image editing tasks inc...
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05/09/2021
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
Single Image Super-Resolution (SISR) tasks have achieved significant per...
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03/30/2021
Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
Monte Carlo path tracer renders noisy image sequences at low sampling co...
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07/03/2020
Task-agnostic Temporally Consistent Facial Video Editing
Recent research has witnessed the advances in facial image editing tasks...
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06/16/2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Extracting effective deep features to represent content and style inform...
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04/29/2020
Quantized Adam with Error Feedback
In this paper, we present a distributed variant of adaptive stochastic g...
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11/19/2019
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Multi-task learning (MTL) is a common paradigm that seeks to improve the...
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09/05/2018
Temporally Coherent Video Harmonization Using Adversarial Networks
Compositing is one of the most important editing operations for images a...
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07/23/2018
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
Recent studies on unsupervised image-to-image translation have made rema...
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03/28/2018
Pose2Seg: Human Instance Segmentation Without Detection
The general method of image instance segmentation is to perform the obje...
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02/27/2018
