This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
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Updated
Nov 28, 2022 - Python
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
Fake HDR Effect. Single Image HDR. HDR Filter.
PyTorch re-implementation of ECCV'18 paper: Deep High Dynamic Range Imaging with Large Foreground Motions
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
A Python Re-implementation of the paper "Recovering High Dynamic Range Radiance Maps from Photographs"
PyTorch re-implementation of TIP'20 paper: Deep HDR Imaging via a Non-Local Network
⚡ Multi-color Holograms Improve Brightness in Holographic Displays
NeurIPS 2020 paper: UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
Source code for "Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection."
TIP 2023 paper: Polarization Guided HDR Reconstruction via Pixel-Wise Depolarization
Reference implementation of generalized orders of magnitude, as proposed in "Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation" (Heinsen and Kozachkov, 2025).
The HDR-VDC dataset
Implementation of our papers entitiled Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot published in TCSVT and Restoration of HDR Images for SVE-Based HDRI via a Novel DCNN published in ICME.
Digital Visual Effects 2025 @ NTU CSIE
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