Ignas Budvytis

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: github.com/akashsengupta1…

Easily one of the best talks I’ve heard at #CVPR2024!

@BaeGwangbin Stellar talk!

Here is the presentation schedule for 𝗗𝗦𝗜𝗡𝗘 (#CVPR2024) See you tomorrow!

NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo Fotios Logothetis, @IgnasBud, @robertocipolla tl;dr: pixel intensity->3D shape; model point light attenuation, explicitly raytrace cast shadows and optimise a fully neural material renderer arxiv.org/pdf/2405.12057

Task Agnostic Architecture for Algorithm Induction via Implicit Composition. arxiv.org/abs/2404.02450

@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.

📢 Code release for 𝗗𝗦𝗜𝗡𝗘 (#CVPR2024 - Oral) DSINE gives you surface normal prediction (+ uncertainty) in real-time. We have released the code for training, testing, and running real-time demos. Try it yourself! github.com/baegwangbin/DS…

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

PRAM: Place Recognition Anywhere Model for Efficient Visual Localization Fei Xue, @IgnasBud, @robertocipolla tl;dr: map-centric landmark definition; recognition->sparse self-defined landmarks->landmark-wise matching new paradigm for visual localization? arxiv.org/pdf/2404.07785…

@AkashSengupta97 @GoogleAI @thiemoall @nikoskolot @enric_corona @CSminchisescu Excellent work! Great to see diffusion processes incorporated into reconstruction.

Excited to be presenting “DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans” at #CVPR2024! Project page: akashsengupta1997.github.io/diffhuman/ Huge thanks to my awesome @GoogleAI internship hosts: @thiemoall, @nikoskolot, @enric_corona, Andrei Zanfir, @CSminchisescu! 1/n

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 youtu.be/UFWL92rbyIU

@pathajali Also highly inspired by tremendous effort and ingenuity of @Sahil_J_S

@pathajali Excellent work!

very interesting work. similar idea to our CVPR2023 paper IMP: Iterative Matching and Pose Estimation with Adaptive Pooling w/ @IgnasBud @robertocipolla arxiv.org/pdf/2304.14837… Source code including the training part is available at github.com/feixue94/imp-r…

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: youtube.com/watch?v=6xDiJN… More details: akashsengupta1997.github.io

Introducing our work 'IMP: Iterative Matching and Pose Estimation with Adaptive Pooling': efficient matching and pose estimation with transformers. #CVPR2023 w/ @IgnasBud @robertocipolla paper: arxiv.org/abs/2304.14837 code: github.com/feixue94/imp-r…

@CVPR A new approach of using sematics for long-term localization SFD2: Semantic-guided Feature Detection and Description @feixu94 @IgnasBud @robertocipolla github.com/feixue94/sfd2 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: github.com/akashsengupta1… 1/3

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. arxiv.org/abs/2304.14845… #CVPR2023

@vijaycivs Congratulations!

A big milestone in our journey!