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Found 7 papers, 2 papers with code
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting.
IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-Labels
In the realm of face image quality assesment (FIQA), method based on sample relative classification have shown impressive performance.
Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling
The main challenge in multi-view pedestrian detection is integrating view-specific features into a unified space for comprehensive end-to-end perception.
Ranked #1 on
Multiview Detection
on Wildtrack
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting.
Joint Blind Motion Deblurring and Depth Estimation of Light Field
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem.
Look Wider to Match Image Patches with Convolutional Neural Networks
When a human matches two images, the viewer has a natural tendency to view the wide area around the target pixel to obtain clues of right correspondence.
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence
The conventional methods for estimating camera poses and scene structures from severely blurry or low resolution images often result in failure.
