LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
LongSplat addresses critical challenges in novel view synthesis (NVS) from
casually captured long videos characterized by irregular camera motion, unknown
camera poses, and expansive scenes. Current methods often suffer from pose
drift, inaccurate geometry initialization, and severe memory limitations. To
address these issues, we introduce LongSplat, a robust unposed 3D Gaussian
Splatting framework featuring: (1) Incremental Joint Optimization that
concurrently optimizes camera poses and 3D Gaussians to avoid local minima and
ensure global consistency; (2) a robust Pose Estimation Module leveraging
learned 3D priors; and (3) an efficient Octree Anchor Formation mechanism that
converts dense point clouds into anchors based on spatial density. Extensive
experiments on challenging benchmarks demonstrate that LongSplat achieves
state-of-the-art results, substantially improving rendering quality, pose
accuracy, and computational efficiency compared to prior approaches. Project
page: https://linjohnss.github.io/longsplat/
68a5270e6cf0bf898542ec12
Chin-Yang Lin
claimed_verified
2025-08-20T08:51:57.117Z
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/avatars/a618c074c9e11e6b9444d0e366efbbdf.svg
LIN, CHIN-YANG
user
linjohnss
68a5270e6cf0bf898542ec13
Cheng Sun
68a5270e6cf0bf898542ec14
Fu-En Yang
68a5270e6cf0bf898542ec15
Min-Hung Chen
claimed_verified
2025-08-20T08:51:58.995Z
64ae22dd1aee69ece065cdcd
https://cdn-avatars.huggingface.co/v1/production/uploads/64ae22dd1aee69ece065cdcd/JG7QaHIrr4i2k4uwR4pZK.png
Min-Hung Chen
user
cmhungsteve
68a5270e6cf0bf898542ec16
Yen-Yu Lin
68a5270e6cf0bf898542ec17
Yu-Lun Liu
LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
LongSplat addresses critical challenges in novel view synthesis (NVS) from
casually captured long videos characterized by irregular camera motion, unknown
camera poses, and expansive scenes. Current methods often suffer from pose
drift, inaccurate geometry initialization, and severe memory limitations. To
address these issues, we introduce LongSplat, a robust unposed 3D Gaussian
Splatting framework featuring: (1) Incremental Joint Optimization that
concurrently optimizes camera poses and 3D Gaussians to avoid local minima and
ensure global consistency; (2) a robust Pose Estimation Module leveraging
learned 3D priors; and (3) an efficient Octree Anchor Formation mechanism that
converts dense point clouds into anchors based on spatial density. Extensive
experiments on challenging benchmarks demonstrate that LongSplat achieves
state-of-the-art results, substantially improving rendering quality, pose
accuracy, and computational efficiency compared to prior approaches. Project
page: https://linjohnss.github.io/longsplat/
LongSplat improves novel view synthesis from long videos with irregular motion through joint optimization, robust pose estimation, and efficient anchor formation.
novel view synthesis 3D Gaussian Splatting Incremental Joint Optimization camera poses 3D Gaussians Pose Estimation Module 3D priors Octree Anchor Formation dense point clouds anchors rendering quality pose accuracy computational efficiency