Code for "Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation"

This repository compiles a list of papers related to the application of video technology in the field of robotics! Star⭐ the repo and follow me if you like what you see🤩.

A minimal implementation of a denoising diffusion model in PyTorch.

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

[ICRA 2024] Language-Conditioned Affordance-Pose Detection in 3D Point Clouds

[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

[CVPR 2024] PyTorch implementation of NOPE: Novel Object Pose Estimation from a Single Image

Code repository for the CVPR2023 publication "HoloDiffusion: Training a 3D diffusion model using 2D Images"

PyTorch code and models for the DINOv2 self-supervised learning method.

Code for "SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation" CVPR2022

Code for "PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring" ICCV2023

Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"

Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).

[CoRL 2022] Generative Category-Level Shape and Pose Estimation with Semantic Primitives

[ICCV'21] SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

Code for "VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations"

the code for CVPR2021 work: FS-Net

[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation

CVPR2024: Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Diffusion-Driven Self-Supervised Network for Multi-Object 3D Shape Reconstruction and Categorical 6-DoF Pose Estimation

High-Resolution Image Synthesis with Latent Diffusion Models