Comments (2)
Please refer to our supplementary material. In this complex scene, we layered the scene, established ENeRF separately, and used volume rendering to synthesize these layers. We used a large 3D bounding box composed of two people's SMPL points as the foreground layer, and the background layer was determined using the background point cloud. We recently released the ENeRF-Outdoor dataset, and we expect to release the relevant code before the Spring Festival.
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请参考我们的补充材料,arixv version paper Figure 6。我们在这种复杂的场景下,对场景进行了分层,分别建立了ENeRF,并且使用Volume rendering将这些层合成起来。我们使用两个人的SMPL点组成的大的3D bbox作为前景层,使用背景点云确定了背景层。我们最近公开了ENeRF-Outdoor dataset,预计春节前可以把相关code也release掉。
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谢谢,期待!
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Related Issues (20)
- custom outdoor dataset
- Issues on evaluation HOT 4
- Doubt with homo_warp
- How to make bounding box data? HOT 1
- Strange error while funetunning zjumocap HOT 1
- Super low GPU/CPU usage while training HOT 1
- Error in DTU Eval HOT 1
- Composition of the enerf-outdoor dataset HOT 1
- Run Enerf on a self-made zju-mocap HOT 4
- run gui_human.py on my own dataset. Problem with visualization
- About the camera? HOT 2
- Camera Color Calibration
- Properly formatted annots.npy file HOT 1
- 关于zjumocap_train.yaml文件下某些项的作用 HOT 1
- Question about config file HOT 3
- weird result after visualizing on the ENeRF-Outdoor dataset
- Problems with visualizing outdoor video HOT 1
- Two questions regarding the video rendering accuracy and the number of inference cameras for Enerf Outdoor. HOT 1
- Is camera radial distortion taken into account? HOT 1
- The Link of pretrained model from dtu_pretrain has expired HOT 1
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