Locally controlling SMPL body shape has uses in 3D shape estimation and generation. Check out the following repo for body-part-based modification of SMPL shape. There is a lot of room for research and improvements!
Code: https://t.co/0lK0e6qmnH
@BaeGwangbin Impressive work, @BaeGwangbin! Great to see robustness to orientation and scale change. Would love to see a NeRF reconstruction on this data built real time.
I'm excited to introduce our work on efficient visual localization - PRAM: Place Recognition Anywhere Model for Efficient Visual Localization with @IgnasBud@robertocipolla
1. Self-defined 3D landmarks as in humans’ perception system - not limited to classic semantic labels
Excited to be presenting “DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans” at #CVPR2024!
Project page: https://t.co/liNINEskaC
Huge thanks to my awesome @GoogleAI internship hosts: @thiemoall, @nikoskolot, @enric_corona, Andrei Zanfir, @CSminchisescu!
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Excited to be presenting my latest work "Sparse Multi-Object Render-and-Compare" at #BMVC2023. CAD model based 3D scene representations have exciting applications for AR and robotics.
- with @IgnasBud and @robertocipolla
https://t.co/QkPNRSCrzG
very interesting work. similar idea to our CVPR2023 paper IMP: Iterative Matching and Pose Estimation with Adaptive Pooling w/ @IgnasBud@robertocipolla
https://t.co/s3dxG8DqaG
Source code including the training part is available at https://t.co/Op1zXQRtua
Can't wait to be at #CVPR in Vancouver next week! Drop in to the PM poster session on Tuesday to check out HuManiFlow - our probabilistic approach to 3D human pose and shape estimation.
Video: https://t.co/aKbiGzSi9n
More details: https://t.co/kave90A6pv
@CVPR A new approach of using sematics for long-term localization
SFD2: Semantic-guided Feature Detection and Description @feixu94 @IgnasBud@robertocipolla
https://t.co/H7MvfYHaCh
implicit semantics embedding into keypoints; no gt for training; no explicit labels at test time
Really looking forward to presenting our paper "HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation" at CVPR 2023!
w/ @IgnasBud and @robertocipolla
Paper + code: https://t.co/D34naF6hLV
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SFD2: Semantic-guided Feature Detection and Description
Fei Xue, @IgnasBud, @robertocipolla
tl;dr: more principled approach to use segmentation for image matching, than class-name filtering.
https://t.co/NeQx2pzT7w
#CVPR2023