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[IJCV'26] TEPR: Thermal Edge-Prompted Geometry Learning for Multi-View 3D Reconstruction.

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TEPR

This is the official repository for TEPR.

Motivation

Edge-only reconstruction results observed from different viewpoints. The aligned edge structures across views indicate that edge-only input can still produce a reasonable reconstruction.

Overview of TI-FRD Dataset

Sample ROS bag files and processed data are available on Google Drive and Baidu Netdisk (Access code: fvxc).

Some examples from the TI-FRD dataset, showing campus scenes with diverse layouts and structures.
Comparison of data acquisition viewpoints in TI-FRD and ViViD++. TI-FRD enables flexible, multi-directional observations, whereas ViViD++'s driving sequences are captured by vehicle-mounted cameras with fixed perspectives. Arrows denote the viewing direction in each image.
The figure shows example RGB images, thermal images, and the corresponding ground-truth depth maps captured under both daytime and nighttime conditions.
Sensor specification for our TI-FRD dataset. acc. and accel. mean range accuracy and acceleration.

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[IJCV'26] TEPR: Thermal Edge-Prompted Geometry Learning for Multi-View 3D Reconstruction.

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