Reflection Removal
29 papers with code • 5 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Reflection Removal
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CDR
SlowFlow
PolarRR
Latest papers with no code
ReflectNet - A Generative Adversarial Method for Single Image Reflection Suppression
In this paper, we proposed a single image reflection removal method based on context understanding modules and adversarial training to efficiently restore the transmission layer without reflection.
Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal
In this study, we proposed an iterative gradient encoding network for single image reflection removal.
Learned Dual-View Reflection Removal
Traditional reflection removal algorithms either use a single image as input, which suffers from intrinsic ambiguities, or use multiple images from a moving camera, which is inconvenient for users.
User-assisted Video Reflection Removal
We show that user-assistance significantly improves the layer separation results.
What Does Plate Glass Reveal About Camera Calibration?
This paper aims to calibrate the orientation of glass and the field of view of the camera from a single reflection-contaminated image.
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
Considering the layer separating ambiguity that given a single mixed input, there could be an infinite number of possible solutions, we introduce a "Separation-Critic" - a discriminative network which is trained to identify whether the output layers are well-separated and thus further improves the layer separation.
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
In addition, the ocular traits among various biometric traits are preferably used in these recognition systems.
Single image reflection removal via learning with multi-image constraints
Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass.
Controllable Attention for Structured Layered Video Decomposition
The objective of this paper is to be able to separate a video into its natural layers, and to control which of the separated layers to attend to.
Learning to Jointly Generate and Separate Reflections
Existing learning-based single image reflection removal methods using paired training data have fundamental limitations about the generalization capability on real-world reflections due to the limited variations in training pairs.
