TianQi-777/HunyuanVideo-I2V
HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
I write a simple Gaussian Newton method , and use Bundle Adjustment to optimize the pose.
Direct Stereo Visual Odometry
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
[CSUR] A Survey on Video Diffusion Models
This is a small demo to compare and plot SLAM estimated trajectories and ground-truth trajectories with RMSE and Pangolin..
The purpose of this demo is to better understand the underlying implementation of single level optical flow and multi level optical flow with forward or inverse.
This is a project modified on the basis of ORB-SLAM2 to use your own camera of PC or video.
This is a small demo to align and plot SLAM estimated trajectories and ground-truth trajectories.
This demo is curve fitting by G-N method,and it can help us better understand the optimization process.
A unified, comprehensive and efficient recommendation library
The purpose of this demo is to better understand the underlying implementation of ORB.
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
The trajectory of the robot is known and plotted with Pangolin.
This demo restores depth information of scenes through stereo images and uses Pangolin for dense reconstruction of scenes.
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
This is a small demo to learn Eigen library for QR,Cholesky and decomposition dynamic size matrix
An index of algorithms for offline reinforcement learning (offline-rl)
Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)
Repository for "Differentiable Causal Discovery from Interventional Data"
Model-Based Offline Reinforcement Learning
PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
A collection of offline reinforcement learning algorithms. Codes are cloned from https://agit.ai/Polixir/OfflineRL
Geometric Deep Learning Extension Library for PyTorch
Neural relational inference for interacting systems - pytorch
Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning
Gym for multi-agent reinforcement learning