Pranav-Saxena

Pranav-Saxena's Stars

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k3903.5k7.5k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.2k1211k2k

• facebookresearch/DensePose

  A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

  Language:Jupyter Notebook7k2502501.3k

• spla-tam/SplaTAM

  SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

  Language:Python1.6k38131176

• muskie82/MonoGS

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

  Language:Python1.5k20164138

• VladimirYugay/Gaussian-SLAM

  Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

  Language:Python965553961

• szymanowiczs/splatter-image

  Official implementation of `Splatter Image: Ultra-Fast Single-View 3D Reconstruction' CVPR 2024

  Language:Python892256069

• espressif/esp-csi

  Applications based on Wi-Fi CSI (Channel state information), such as indoor positioning, human detection

  Language:C73323202110

• WHU-USI3DV/VistaDream

  [arXiv'24] VistaDream: Sampling multiview consistent images for single-view scene reconstruction

  Language:Python36651914

• VisualComputingInstitute/diffusion-e2e-ft

  [WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

  Language:Python3631799

• charlesq34/3dcnn.torch

  Volumetric CNN for feature extraction and object classification on 3D data.

  Language:Lua223201270

• OpenMask3D/openmask3d

  Language:Python19672314

• geekfeiw/wifiperson

  Code of paper, Person-in-WiFi: Fine-grained Person Perception using WiFi

  Language:Python1584532

• sharinka0715/semantic-gaussians

  Official implemetation of the paper "Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting".

  Language:Python14822511

• uzh-rpg/rpg_ig_active_reconstruction

  This repository contains the active 3D reconstruction library described in the papers: "An Information Gain Formulation for Active Volumetric 3D Reconstruction" by Isler et al. (ICRA 2016) and "A comparison of volumetric information gain metrics for active 3D object reconstruction" by Delmerico et al. (Autonomous Robots, 2017).

  Language:C++11922955

• geekfeiw/CSI-Net

  pytorch code of CSI-Net, including data and pre-trained models

  Language:Python1044429

• mharbuz/rlbook-exercises

  911228

• superstar1225/DensePose_from_WiFi

  Using of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence.

  Language:Python913121

• matvogel/P2P-Bridge

  Official implementation of the ECCV 2024 paper Diffusion Bridges for 3D Point Cloud Denoising.

  Language:Python64336

• naokiyokoyama/ovon

  Open Vocabulary Object Navigation

  Language:Python41374

• chinhsuanwu/awesome-visual-odometry

  A curated list of awesome visual odometry resources.

  32307

• aiotgroup/Person-in-WiFi-3D-repo

  Language:Python212

• SGI-2023/3D-Building-Classification

  Language:Python10413

• dsor-isr/farol

  Free Autonomous Robots for Observations and Labelling

  Language:C++6550

• nlinc1905/Optimal-Stopping-Theory-Test

  A Python script to test Optimal Stopping Theory

  Language:Jupyter Notebook51

• BinglunWang/ProteusNeRF

  Language:Python41

• lucapelizzari/Optimal_Stopping_with_signatures

  Implementation of primal and dual method to solve the optimal stopping problem in non-Markovian situations, see https://arxiv.org/abs/2312.03444 for details. Examples include optimal stopping of fractional Brownian motion and pricing American options in rough volatility models rBergomi and rHeston.

  Language:Jupyter Notebook3

• Pranav-Saxena/Inferno

  Language:Python2100

• Mona-Alzahrani/SelectiveMV

  This repository is for the following paper "Selective Multi-View Deep Model for 3D Object Classification (SelectiveMV)" introduced by Mona Alzahrani, Muhammad Usman, Saeed Anwar, and Tarek Helmy, CVPR 2024.

  Language:Jupyter Notebook11

• xyz38324/New_DensePose

  Language:Python10