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CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Computer Graphics Assignment about Meshes
🔺😎 A curated list of awesome stuff to learn computer graphics
Compute CNN receptive field size in pytorch in one line
Fast neural radiance field training with free camera trajectories
Unofficial implementation of ZipNeRF
A General NeRF Acceleration Toolbox in PyTorch.
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization, Geometric loss functions for camera pose regression with deep learning, PoseNet: A Convolutional Network for Real-Time 6-DO…
[ECCV 2022 Oral] GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction & Pose Estimation
[CVPR 2023] 😈BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields
[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
[ICLR2023] "NeRF-SOS: Any-View Self-supervised Object Segmentation from Complex Real-World Scenes", Zhiwen Fan, Peihao Wang, Xinyu Gong, Yifan Jiang, Dejia Xu, Zhangyang Wang
Example deep learning projects that use wandb's features.
A curated list of awesome neural radiance fields papers
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
Official repository of ActiveNeRF (ECCV2022)
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
Execute several jupyter cells simultaneously with beautiful output. Do not waste time waiting
A Python implementation of the Iterative Closest Point algorithm