MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation

13 March 2025

Papers citing "MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation"

31 / 31 papers shown

Title
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution Zhikai Zhao Chuanbo Hua Federico Berto Kanghoon Lee Zihan Ma Jiachen Li Jinkyoo Park 63 1 0 07 May 2025
One Step Diffusion via Shortcut Models Kevin Frans Danijar Hafner Sergey Levine Pieter Abbeel VLM DiffM 125 42 0 16 Oct 2024
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin Michael Gharbi Taesung Park Richard Zhang Eli Shechtman Frédo Durand William T. Freeman DiffM 98 117 0 23 May 2024
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction Conghao Wong Beihao Xia Ziqian Zou Yulong Wang Xinge You 59 20 0 09 Oct 2023
Fast Diffusion Model Zike Wu Pan Zhou Kenji Kawaguchi Hanwang Zhang DiffM 39 22 0 12 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion C. Jiang Andre Cornman C. Park Benjamin Sapp Yin Zhou Drago Anguelov DiffM 85 140 0 05 Jun 2023
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 148 590 0 02 Nov 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 127 501 0 12 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 71 520 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 185 996 0 07 Sep 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp AI4TS 113 256 0 12 Jul 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 204 1,610 0 07 Apr 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion Tianpei Gu Guangyi Chen Junlong Li Chunze Lin Yongming Rao Jie Zhou Jiwen Lu DiffM VGen 363 209 0 25 Mar 2022
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 84 55 0 25 Mar 2022
SocialVAE: Human Trajectory Prediction using Timewise Latents Pei Xu J. Hayet Ioannis Karamouzas 47 92 0 15 Mar 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 98 551 0 15 Dec 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 187 560 0 20 Apr 2021
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan Xinshuo Weng Yanglan Ou Kris Kitani AI4TS 83 453 0 25 Mar 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 176 229 0 17 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 233 277 0 07 Jan 2021
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 75 103 0 21 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 330 6,453 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 260 7,356 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 622 18,036 0 19 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,902 0 12 Jul 2019
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 39 97 0 24 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 292 3,129 0 09 Jul 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 692 131,526 0 12 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,309 0 02 Dec 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 298 6,931 0 12 Mar 2015