[NeurIPS 2022] Official code for "Focal Modulation Networks"

[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction

ICCV2023 TUTR: Trajectory Unified Transformer for Pedestrian Trajectory Prediction

(ECCV 2024) Official PyTorch implementation of paper "Progressive Pretext Task Learning for Human Trajectory Prediction"

The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"

Social Interpretable Tree for Pedestrian Trajectory Prediction (AAAI22)

STIGCN: Spatial-Temporal Interaction-aware Graph Convolution Network for Pedestrian Trajectory Prediction

Predicting Pedestrian Trajectory via Interaction Conditioned Latents (AAAI2024)

Deep learning for pedestrian path prediction

This is a list of papers related to traffic agent trajectory prediction.

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

🔘Official codes for "SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction"

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…

Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

diffusion generative model

The implemention of DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Mamba SSM architecture

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Code and hyperparameters for the paper "Generative Adversarial Networks"

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Denoising Diffusion Probabilistic Models

[CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction

[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

《动手做科研》面向科研初学者，一步一步地展示如何入门人工智能科研

A conda-forge distribution.