#cplusplus #cuda #deep_learning #gpu #mlp #nerf #neural_network #real_time #rendering
https://github.com/NVlabs/tiny-cuda-nn
https://github.com/NVlabs/tiny-cuda-nn
GitHub
GitHub - NVlabs/tiny-cuda-nn: Lightning fast C++/CUDA neural network framework
Lightning fast C++/CUDA neural network framework. Contribute to NVlabs/tiny-cuda-nn development by creating an account on GitHub.
#cuda #3d_reconstruction #computer_graphics #computer_vision #function_approximation #machine_learning #nerf #neural_network #real_time #real_time_rendering #realtime #signed_distance_functions
https://github.com/NVlabs/instant-ngp
https://github.com/NVlabs/instant-ngp
GitHub
GitHub - NVlabs/instant-ngp: Instant neural graphics primitives: lightning fast NeRF and more
Instant neural graphics primitives: lightning fast NeRF and more - NVlabs/instant-ngp
#jupyter_notebook #3d_reconstruction #cuda #instant_ngp #nerf #pytorch #pytorch_lightning
https://github.com/kwea123/ngp_pl
https://github.com/kwea123/ngp_pl
GitHub
GitHub - kwea123/ngp_pl: Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few…
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code) - kwea123/ngp_pl
#python #dreamfusion #gui #nerf #stable_diffusion #text_to_3d
https://github.com/ashawkey/stable-dreamfusion
https://github.com/ashawkey/stable-dreamfusion
GitHub
GitHub - ashawkey/stable-dreamfusion: Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion. - ashawkey/stable-dreamfusion
#python #3d #3d_graphics #3d_reconstruction #computer_vision #deep_learning #machine_learning #nerf #photogrammetry #pytorch
https://github.com/nerfstudio-project/nerfstudio
https://github.com/nerfstudio-project/nerfstudio
GitHub
GitHub - nerfstudio-project/nerfstudio: A collaboration friendly studio for NeRFs
A collaboration friendly studio for NeRFs. Contribute to nerfstudio-project/nerfstudio development by creating an account on GitHub.