BehindTheScenes icon indicating copy to clipboard operation
BehindTheScenes copied to clipboard

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

Results 8 BehindTheScenes issues
Sort by recently updated
recently updated
newest added

Hi Thanks for your work. I tried your model architecture on my custom data and here are some problems and my insights 1.There are two key advantages about this model:...

Hi, I noticed that the load_depth function in kitti_360_dataset.py was wrong since code like `points = points[points[:, 0] >= 0, :]` was omitted. Hence the points backward would mask out...

Hi Brummi, I tried to evaluate your provided model on the KITTI-raw and KITTI-360 datasets, both yielded suboptimal results 1. KITTI-360 - testing image: The unzipped PNG image (w/o preprocessing)...

hey brummi ~ I have some question with FisheyeToPinhole. I tried to visualize the fisheye img after this sample function. I used the kitti360 data_fisheye_calibration data and calibration results which...

Do you plan to release the visualization code that represents density as occupancy, like the density field image shown in Figure 1?

Dear authors, Great work. Please add license. Please also check for and respect licenses from which this repo was derived from ( pixelNeRF, monodepth2). Thanks

I set max_epoch to 60, but the train ends at epoch 1 every time, what is the reason? Evaluation (val): [1/1] 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ [00:00

Dear authors, Thank you for sharing your wonderful work! When I tried to run the provided code to process the RealEstate10K dataset, some issues occurred. A large portion of the...