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Found 12 papers, 1 papers with code
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Generative models have enabled intuitive image creation and manipulation using natural language.
Predicting Perceived Gloss: Do Weak Labels Suffice?
Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fully-understood interactions with external factors, such as geometry and lighting.
The Visual Language of Fabrics
We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials.
A Probabilistic Time-Evolving Approach to Scanpath Prediction
Human visual attention is a complex phenomenon that has been studied for decades.
Single-image Full-body Human Relighting
We present a single-image data-driven method to automatically relight images with full-body humans in them.
ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images
Generative adversarial approaches could alleviate this challenge by generating a large number of possible scanpaths for unseen images.
The joint role of geometry and illumination on material recognition
In this work, we perform a comprehensive and systematic analysis of how the interplay of geometry, illumination, and their spatial frequencies affects human performance on material recognition tasks.
A Similarity Measure for Material Appearance
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
Convolutional sparse coding for capturing high speed video content
Video capture is limited by the trade-off between spatial and temporal resolution: when capturing videos of high temporal resolution, the spatial resolution decreases due to bandwidth limitations in the capture system.
Convolutional Sparse Coding for High Dynamic Range Imaging
Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially-varying pixel exposures.
How do people explore virtual environments?
Understanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention.
Recent Advances in Transient Imaging: A Computer Graphics and Vision Perspective
Transient imaging has recently made a huge impact in the computer graphics and computer vision fields.
