ShivinDass

ShivinDass's Stars

• huangwl18/ReKep

  ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

  Language:Python46046

• google-research/omniglue

  Code release for CVPR'24 submission 'OmniGlue'

  Language:Python55048

• jonzamora/awesome-robot-learning-envs

  A list of awesome and popular robot learning environments

  881

• huggingface/lerobot

  🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

  Language:Python6.9k625

• s-tian/vp2

  VP2 Benchmark (A Control-Centric Benchmark for Video Prediction, ICLR 2023)

  Language:Python241

• baegwangbin/DSINE

  [CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

  Language:Jupyter Notebook71028

• chandar-lab/Recall2Imagine

  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024

  Language:Python495

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.4k291

• OpenGVLab/PonderV2

  PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

  Language:Python3225

• FORTH-ModelBasedTracker/MocapNET

  We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance

  Language:C++851136

• muskie82/MonoGS

  [CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

  Language:Python1.3k119

• XPandora/PhysGaussian

  [CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

  Language:Python1k41

• open-mmlab/mmhuman3d

  OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

  Language:Python1.2k134

• clvrai/clvr_jaco_play_dataset

  Official release of the CLVR Jaco Play Dataset, Dass et al. 2023

  Language:Shell11

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.7k1.2k