# LoGeR **Repository Path**: falin1/LoGeR ## Basic Information - **Project Name**: LoGeR - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-03-15 - **Last Updated**: 2026-03-15 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory > **Notice: This is a reimplementation of LoGeR; complete code and models will be released upon approval.** LoGeR processes long video streams in chunks with a hybrid memory design to improve large-scale geometric reconstruction quality and consistency. [**LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory**](https://arxiv.org/abs/2603.03269) [*Junyi Zhang*](https://junyi42.github.io/), [*Charles Herrmann*](https://scholar.google.com/citations?user=LQvi5XAAAAAJ), [*Junhwa Hur*](https://hurjunhwa.github.io/), [*Chen Sun*](https://chensun.me/index.html), [*Ming-Hsuan Yang*](https://faculty.ucmerced.edu/mhyang/), [*Forrester Cole*](https://scholar.google.com/citations?user=xZRRr-IAAAAJ&hl), [*Trevor Darrell*](https://people.eecs.berkeley.edu/~trevor/), [*Deqing Sun*](https://deqings.github.io/) | [**[Project Webpage]**](https://LoGeR-project.github.io/) | [**[arXiv]**](https://arxiv.org/abs/2603.03269)

LoGeR Teaser

## Installation ```bash git clone https://github.com/junyi42/LoGeR cd LoGeR conda create -n loger python=3.11 cmake=3.14.0 conda activate loger pip install -r requirements.txt ``` ## Checkpoint Download Checkpoints are hosted on [Hugging Face](https://huggingface.co/Junyi42/LoGeR): Please place files as: - `ckpts/LoGeR/latest.pt` - `ckpts/LoGeR_star/latest.pt` Example commands: ```bash wget -O ckpts/LoGeR/latest.pt "https://huggingface.co/Junyi42/LoGeR/resolve/main/LoGeR/latest.pt?download=true" wget -O ckpts/LoGeR_star/latest.pt "https://huggingface.co/Junyi42/LoGeR/resolve/main/LoGeR_star/latest.pt?download=true" ``` ## Demo For demo usage, please directly refer to: - [`demo_run.sh`](demo_run.sh) ## Evaluation For evaluation instructions, please refer to: - [`eval/eval.md`](eval/eval.md) ## Citation If you find our work useful, please cite: ```bibtex @article{zhang2026loger, title={LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory}, author={Zhang, Junyi and Herrmann, Charles and Hur, Junhwa and Sun, Chen and Yang, Ming-Hsuan and Cole, Forrester and Darrell, Trevor and Sun, Deqing}, journal={arXiv preprint arXiv:2603.03269}, year={2026} } ``` ## Acknowledgments Our code is based on [Pi3](https://github.com/yyfz/Pi3) and [LaCT](https://github.com/a1600012888/LaCT), our camera pose estimation evaluation script is based on [TTT3R](https://github.com/Inception3D/TTT3R) & [VBR](https://github.com/rvp-group/vbr-slam-benchmark), and our visualization code is based on [Viser](https://github.com/nerfstudio-project/viser). We thank the authors for their excellent work!