train_ds = ( training_ds.shuffle(BATCH_SIZE) .batch(BATCH_SIZE, drop_remainder=True, num_parallel_calls=AUTO) .prefetch(AUTO) ) # 制作验证数据管道。 val_img_ds = tf.data.Dataset.from_tensor_slices(val_images) val_pose_ds = tf.data.Dataset.from_tensor_slices(val_poses) val_ray_ds ...
T(t) = \exp\left(-\int_{t_{\text{near}}}^{t} \sigma(\boldsymbol{r}(s)) ds\right) \\ 这个公式的意思是,光线在到达某一点时,其颜色已经因为途径点的体积密度而衰减,所以需要一个衰减因子T(t)来表示这种衰减。 在这个公式中,\sigma(\boldsymbol{r}(s))是在\boldsymbol{r}(s)点的体密度...
Mip-NeRF is also able to match the accuracy of a brute-force supersampled NeRF on our multiscale dataset while being 22x faster. [arXiv] [Project] [Github] [Notes] 🔥Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul ...
Code release for NeRF (Neural Radiance Fields). Contribute to mkt-ds/nerf development by creating an account on GitHub.
“fresh training for each scene” rule by training an auxiliary neural network trained on a large dataset of scenes (or sometimes on image datasets, like ImageNet). Such a network extracts high level image features which are supplied to NeRF alongside the usual inputs(r, d). They also use...
However, by exploiting the triplets peculiar to our dataset, L3ρ alone (C) outperforms both (A) and (B), thanks to the stronger self-supervision re- covered at occlusions. Interestingly, labels extracted by [3] (B') still produce better performance on the high-resolution datasets Midd-A...
Although showing promising results on the forward-facing dataset like LLFF [23], these approaches face difficulties when handling challenging camera trajectories with large camera motion. We address this issue by closely integrat- ing mono-depth maps with the joint optimi...
mkdir -p data/obama wget https://github.com/YudongGuo/AD-NeRF/blob/master/dataset/vids/Obama.mp4?raw=true -O data/obama/obama.mp4 We also provide pretrained checkpoints on the Obama video clip. After completing the data pre-processing step, you can download and test them by: python ma...
DS/.idea/deployment.xml 2739 2024-05-07 20:33:16 DS/.idea/factory_depth.iml 554 2024-05-29 20:10:48 DS/.idea/inspectionProfiles/profiles_settings.xml 174 2024-04-12 09:42:18 DS/.idea/inspectionProfiles/Project_Default.xml 1664 2024-04-12 09:42:18 DS/.idea/misc.xml 187 2024-05...
Similarly, the dataset also includes three scenes—an intersection, a country road, and a stadium—each of which also contains 60 images from different perspectives. The relevant information for drone image acquisition is shown in Figure 3. Figure 3. The study location along the with general ...