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New InFlux++ dataset enhances dynamic camera intrinsic estimation

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced InFlux++, a new dataset and benchmark designed to improve the estimation of dynamic camera intrinsics from RGB images. This advancement addresses the limitations of current 3D computer vision algorithms that often assume fixed camera intrinsics, which is not true for real-world videos. InFlux++ comprises a large synthetic dataset with over 441,000 frames and an expanded real-world benchmark with over 514,000 frames, offering greater diversity in scene, camera motion, and intrinsic variations like zoom and focus. AI

IMPACT Enhances robustness of 3D reconstruction from video by improving dynamic camera intrinsic estimation.

RANK_REASON The cluster describes a new dataset and benchmark for a computer vision research problem.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New InFlux++ dataset enhances dynamic camera intrinsic estimation

COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics

    Camera intrinsics are vital for recovering 3D structure from 2D video. However, most 3D algorithms assume fixed intrinsics throughout a video, an assumption that often fails for real-world in-the-wild videos. Consequently, estimating per-frame intrinsics from RGB images is critic…

  2. arXiv cs.CV TIER_1 English(EN) · Erich Liang, Caleb Kha-Uong, Chinmaya Saran, Sreemanti Dey, David W. Liu, Junhan Ouyang, Benjamin Zhou, Jia Deng ·

    InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics

    arXiv:2607.05389v1 Announce Type: new Abstract: Camera intrinsics are vital for recovering 3D structure from 2D video. However, most 3D algorithms assume fixed intrinsics throughout a video, an assumption that often fails for real-world in-the-wild videos. Consequently, estimatin…

  3. arXiv cs.CV TIER_1 English(EN) · Jia Deng ·

    InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics

    Camera intrinsics are vital for recovering 3D structure from 2D video. However, most 3D algorithms assume fixed intrinsics throughout a video, an assumption that often fails for real-world in-the-wild videos. Consequently, estimating per-frame intrinsics from RGB images is critic…

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