:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Pengxi, Li, Zeyu Michael, Cheng, Xiang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2602.19512
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment
by: Li, Jiaming, et al.
Published: (2026)

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)

Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional Change
by: Okada, Shuntaro, et al.
Published: (2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
by: Qingze, et al.
Published: (2024)

Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers
by: Li, Zeyu Michael
Published: (2024)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models
by: Dai, Zeyu, et al.
Published: (2025)

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
by: Xie, Tianyu, et al.
Published: (2025)

Spectrally-Guided Diffusion Noise Schedules
by: Esteves, Carlos, et al.
Published: (2026)

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
by: Chen, Ping, et al.
Published: (2026)

An Elastic Shape Variational Autoencoder for Skeleton Pose Trajectories
by: Rahman, Arafat, et al.
Published: (2026)

Geometric Trajectory Diffusion Models
by: Han, Jiaqi, et al.
Published: (2024)

Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models
by: Gao, Daiheng, et al.
Published: (2025)

Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)

Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
by: Guan, Yunchuan, et al.
Published: (2025)

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model
by: Zhou, Renping, et al.
Published: (2025)

Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling
by: Capellera, Guillem, et al.
Published: (2026)

On the Trajectory Regularity of ODE-based Diffusion Sampling
by: Chen, Defang, et al.
Published: (2024)

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
by: Bae, Inhwan, et al.
Published: (2024)

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
by: Li, Xiang, et al.
Published: (2023)

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability
by: Lin, Yan, et al.
Published: (2024)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
by: Liu, Shu, et al.
Published: (2025)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
by: Dou, Hongkun, et al.
Published: (2025)

DiffEnc: Variational Diffusion with a Learned Encoder
by: Nielsen, Beatrix M. G., et al.
Published: (2023)

RCDM: Enabling Robustness for Conditional Diffusion Model
by: Xu, Weifeng, et al.
Published: (2024)

Anisotropic Fourier Features for Positional Encoding in Medical Imaging
by: Jabareen, Nabil, et al.
Published: (2025)

$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models
by: Park, Yong-Hyun, et al.
Published: (2024)

Diffusion-Based Environment-Aware Trajectory Prediction
by: Westny, Theodor, et al.
Published: (2024)

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images
by: Menn, Dennis, et al.
Published: (2024)

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
by: Pan, Zizheng, et al.
Published: (2024)

Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling
by: Neumeier, Marion, et al.
Published: (2026)

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)

Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
by: Zheng, Yang, et al.
Published: (2025)

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI
by: Li, Zhiyuan, et al.
Published: (2024)

Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
by: Bompai, Stelio, et al.
Published: (2026)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)

ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy
by: Tie, Chenrui, et al.
Published: (2024)

Divergence Minimization Preference Optimization for Diffusion Model Alignment
by: Li, Binxu, et al.
Published: (2025)

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies
by: Vishen, Shrey, et al.
Published: (2024)