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RenderOcc
[ICRA 2024] RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. (Early version: UniOcc)
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About threshold value in paper
#48
VitaLemonTea1
opened
1 week ago
0
About nuscene mini-dataset
#47
XiangFeng66
opened
1 month ago
0
torch version
#46
kelo020304
opened
2 months ago
0
Depth supervision experiment
#45
rmarcuzzi
closed
3 months ago
2
Traning code for SemanticKITTI
#44
JunjieLiuSWU
closed
3 months ago
1
Question aboud dynamic class
#43
jimchenhub
closed
3 months ago
3
关于render中的point sample
#42
chenshi3
closed
3 months ago
1
Using Nuscenes Dataset
#41
Shiyao-Xu
closed
5 months ago
2
Output dimension of density mlp
#40
OrangeSodahub
closed
7 months ago
4
Results of RenderOcc and UniOcc paper
#39
OrangeSodahub
closed
7 months ago
1
Inquiry on Applying IDA to Generated Rays in NeRF-based Models
#38
SPA-junghokim
opened
8 months ago
6
How to use `camera_mask` during training?
#37
getterupper
closed
3 months ago
0
Question about the pretrained checkpoint
#36
pkqbajng
closed
5 months ago
3
Details of NerfHead parameters
#35
yutao98
closed
5 months ago
1
I'm confused why I have to edit my code to run correctly.
#34
Ira569
opened
9 months ago
1
What is the IoU of RenderOcc
#33
haiphamcse
opened
10 months ago
2
Occ GT and prediction
#32
samernanoxx
closed
5 months ago
1
When the occupancy gt is used(use_3d_loss=True), NerfHead seem make no contributions.
#31
drilistbox
closed
5 months ago
0
The mIoU of Uniocc and RenderOcc is not same
#30
HenryZhangJianhe
closed
11 months ago
3
test_pipeline did not include key “gt_semantics“
#29
HenryZhangJianhe
closed
10 months ago
1
I can not download gts files from your link projection, could you share your link of gts
#28
HenryZhangJianhe
closed
11 months ago
2
May be more efficient in Training in terms of GPU utils?
#27
synsin0
closed
10 months ago
1
Memory leak
#26
samernanoxx
closed
10 months ago
1
about 2D depth groundtruth
#25
windkiss5
closed
11 months ago
1
Question about Ray Transformation
#24
rayeeli
closed
11 months ago
2
为什么不在semanticKITTI使用双目的双视角来验证？
#23
Joeless
closed
1 year ago
2
为什么不在semanticKITTI使用双目的双视角来验证？
#22
Joeless
closed
1 year ago
0
Question about 2D supervision
#21
rayeeli
closed
1 year ago
2
扩大point_cloud_range和occ_size，Nerf相关参数
#20
chenzyhust
closed
11 months ago
6
About SemanticKiTTI config
#19
15757955216
closed
11 months ago
1
Reproduce results
#18
samernanoxx
closed
11 months ago
2
About sparse depth supervision
#17
eliliu2233
closed
11 months ago
7
cuda memory
#16
Yzichen
closed
1 year ago
2
关于nerf渲染的问题
#15
KarlLi5
closed
1 year ago
3
Occupancy prediction results
#14
samernanoxx
closed
1 year ago
2
dataset organization
#13
finninmunich
closed
1 year ago
1
迁移复现问题
#12
zhangbo666666
closed
1 year ago
4
visualization video
#11
zhangbo666666
closed
10 months ago
4
复现问题
#10
15757955216
closed
1 year ago
8
Regarding the question of how to obtain "occ_infos_temporal_val.pkl"
#9
KarlLi5
closed
1 year ago
3
nerf渲染速度特别慢
#8
chenzyhust
closed
1 year ago
5
How about generate rays directly from lidarseg
#7
secret104278
closed
1 year ago
3
How to build the continuous SDF by predicted voxel-wise density and semantic?
#6
perisage
closed
1 year ago
2
move generate_rays to dataloader pipeline, reduce training time and allow bigger batch size
#5
revisitq
closed
1 year ago
0
Even more AI for this repo :p
#4
luisxcosta
opened
1 year ago
0
May you provide dataset pipelines, i.e. how to get the ray(gt_depth, gt_semantics, ray_o, ray_d) from the input multi-frame images.
#3
synsin0
closed
1 year ago
6
Details about the usage of 3D labels?
#2
revisitq
closed
1 year ago
5
Code release?
#1
revisitq
closed
1 year ago
2