Yu Sun
Yu Sun
Hi, The paper missed the specific value of T (the threshold to determine the ordinal relation). Could you please clarify the value? 
BEV: Putting People in their Place: Monocular Regression of 3D People in Depth Code: https://github.com/Arthur151/ROMP Paper: https://arxiv.org/abs/2112.08274 Dataset: https://github.com/Arthur151/Relative_Human Video: https://www.youtube.com/watch?v=Q62fj_6AxRI Project page: https://arthur151.github.io/BEV/BEV.html
Congratulations on the great work, guys! I have noticed that you have extracted a 3DPW subset with occlusion (based on IoU) in you SuppMat. Could you please provide the names...
Does anyone knows the per-image time consuming of this method? Thinks!
Awesome project! The rendering works great on the desktop. But on the remote server, we may need a real headless rendering to avoid the error like: (standalone) XOpenDistplay: cannot open...
Geat work! The performance is really impressive! I have struggled to install the old version of pytorch3D (0.4.0) but failed. Therefore, I made some change to the source code of...
Hi, congratulation on the great work in 3DV! May I ask when are you going to release the code? Looking forward to learn from it. Best wishes, Yu