train_pose_ds = tf.data.Dataset.from_tensor_slices(train_poses) train_ray_ds = train_pose_ds.map(map_fn, num_parallel_calls=AUTO) training_ds = tf.data.Dataset.zip((train_img_ds, train_ray_ds)) train_ds = ( training_ds.shuffle(BATCH_SIZE) .batch(BATCH_SIZE, drop_remainder=True,...
We evaluate our model based on the novel view synthesis quality with a self-collected dataset of different moving specular objects in realistic environments. The experimental results demonstrate that our method significantly improves the reconstruction quality of moving specular objects from monocular RGB ...
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...
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...
# 介绍通过音频空间分解的实时神经辐射说话肖像合成。(所有文字都认识,但是拼在一起就是看不懂)开源地址:[链接]项目页面:[链接]实际效果:搭建环境使用...
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) ...
train_ds = ( training_ds.shuffle(BATCH_SIZE) .batch(BATCH_SIZE, drop_remainder=True, num_parallel_calls=AUTO) .prefetch(AUTO) ) # Make the validation pipeline. val_img_ds = tf.data.Dataset.from_tensor_slices(val_images) val_pose_ds = tf.data.Dataset.from_tensor_slices(val_poses) ...
To train a DS-NeRF on the exampleferndataset: python run_nerf.py --config configs/fern_dsnerf.txt It will create an experiment directory in./logs, and store the checkpoints and rendering examples there. You can create your own experiment configuration to try other datasets. ...
wgethttps://github.com/YudongGuo/AD-NeRF/blob/master/dataset/vids/Obama.mp4?raw=true-O data/obama/obama.mp4 运行脚本(可能需要数小时,具体取决于视频长度) run all steps python data_utils/process.py data//.mp4 if you want to run a specific step ...
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 ...