NeRF-SLAM
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ToniRV
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/...
Hi all I had this error when cmake ./thirdparty/gtsam -DGTSAM_BUILD_PYTHON=1 -B build_gtsam But I got this error: CMake Error at python/CMakeLists.txt:190 (configure_file): Invalid argument for three times, I am running...
I have a question: why is it necessary to resize the input image if it exceeds the resolution of 640×640? Is it due to a hardware problem or is it...
Hey there! First of all, thanks for the great work. When I run slam_demo.py, there is no output message on the screen. Am I doing something wrong? 
Getting this error when trying to compile it on Ubuntu. Cuda is installed ( v 11.7), did everything according to the readme. What might be wrong? ``` cmake ./thirdparty/instant-ngp -B...
AttributeError: module 'droid_backends' has no attribute 'reduced_camera_matrix'
Hey guys, I keep trying to build gtsam like described in the repo but can't get it to work. I'm very new to anything c/c++ and cmake related so any...
Traceback (most recent call last): File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/user/linzejun01/linzejun_mutiply_view01/NeRF-SLAM/./examples/../pipeline/pipeline_module.py", line 88, in spin self.initialize_module() File "/home/user/linzejun01/linzejun_mutiply_view01/NeRF-SLAM/./examples/../gui/gui_module.py", line...
Hi, thanks for your amazing work, when I ran the demo use the command ``` python ./examples/slam_demo.py --dataset_dir=./datasets/Replica/office0 --dataset_name=nerf --buffer=100 --slam --parallel_run --img_stride=2 --fusion='nerf' --multi_gpu ``` I got the a...
Hi @ToniRV Thank you very much for sharing your work! The code and paper are both impressive! I have some questions about the evaluation. I assume the evaluation values in...
