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Zengxi Zhang

2 accepted papers

2025

Depth-Supervised Fusion Network for Seamless-Free Image Stitching

NeurIPS 2025poster

Image stitching synthesizes images captured from multiple perspectives into a single image with a broader field of view. The significant variations in object depth often lead to large parallax, resulting in ghosting and misalignment in the stitched results. To address this, we propose a depth-consis…

Cited by 0SourcecodeScholar
2025

Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark

NeurIPS 2025poster

Deep learning-based image stitching methods have achieved promising performance on conventional stitching datasets. However, real-world scenarios may introduce challenges such as complex weather conditions, illumination variations, and dynamic scene motion, which severely degrade image quality and l…

Cited by 0SourceScholar