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# Academic papers
## MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion
- [논문 링크](https://arxiv.org/pdf/2409.19152)
- 알고리즘 플로우
- 결과
- 200 장 사용시 성능…
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The latter research papers[^1][^2] use the following generative scheme to reconstruct images:
1. **Low-level (perceptual):** maps brain signals to the embedding space of Stable Diffusion’s VAE. This …
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# Interesting papers
## The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
## llava-o1
- https://github…
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Im facing this issue during reconstruction. I start the process with 62 images but by the end I am left with 25 images which are used for dense reconstruction. Due to this most of the images are not m…
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Hi,
Thanks for our work,
In order to understand data preprocessing, I inspected point cloud at several step. And it look like colmap mapper didn't provide good reconstruction for each sequence.
For…
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thans for you work.
I wonder the improvement compared with 3d-reconstruction on single image (3DMM-pytorch-fitting) ?
And if there is any material or paper about the effect difference between multiv…
lvZic updated
6 months ago
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ref: https://github.com/uzh-rpg/rpg_image_reconstruction_from_events
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Hi, your code is really helpful, but I didn't understand how you can reconstruct the mask after your applied the model. Because you're taking just the images with a lesion, but then you should be able…
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Hi, I was trying to use your mast3r_sfm to reconstruct a scene with 188 images. My settings was like:
My c…
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I tried to use my own data to reconstruct a point cloud. It's an image set I got from a 360 video I took around an item. Then I used image matting and tried to get a better result.
![a9n29admSnNF-LC…