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#NIPS2017
Institute: MIT, Freeman
URL: https://arxiv.org/pdf/1711.03129.pdf
Interest: 3
Keyword: 3D shape reconstruction
Git: https://github.com/jiajunwu/marrnet (torch)
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When using images taken from a turntable, where the camera is stationary and the object is rotating, after running the convert.py script to generate the colmap output files/images, it is only generati…
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The code seems to train an input image and evaluate the reconstruction result one by one. I wonder that can the model do the prediction of reconstructing 3D objects of untrained images? If so, how to …
30qwq updated
3 years ago
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Hello.
Thanks for sharing code and examples.
After reading description and paper, i thought that we give images as input to get mesh, but why in example code with bunny you loaded mesh?
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B. Caruso, T. Mahendrakar, V. M. Nguyen, R. T. White, and T. Steffen, “3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF.” arXiv, Jun. 09, 2023.…
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Hi,
I'd like to contribute to this repository by adding the implementation details of the following 3D object detection model: [CenterSnap](https://github.com/zubair-irshad/CenterSnap)
Could you p…
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Hello everyone, I was wondering if anyone has tried to use latest Diffusion models for multi-view generation with higher resolution sizes such as 1024x1024 or 512x512. Also, if someone has optimizing …
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Thanks a lot for sharing the pretrained models.
I'd like to confirm the evaluation setting for the pretrained models (8 submodules case).
When validation images for rubble were rendered by the…
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Hi,
I previously considered adding NeRF or 3DGS for 3D reconstruction. But the data they generate seems less suitable for robotic applications. Although they might be useful in other ways. For exampl…