:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Silveria, Austin, Govande, Soham V., Fu, Daniel Y.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.03275
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention
by: Zheng, Xuzhe, et al.
Published: (2026)

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2025)

Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer
by: Shi, Huihong, et al.
Published: (2024)

Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
by: Lee, Dong In, et al.
Published: (2025)

Dual-Channel Attention Guidance for Training-Free Image Editing Control in Diffusion Transformers
by: Li, Guandong
Published: (2026)

Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
by: Bader, Jessica, et al.
Published: (2025)

Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
by: Yin, Zixin, et al.
Published: (2025)

LiteAttention: A Temporal Sparse Attention for Diffusion Transformers
by: Shmilovich, Dor, et al.
Published: (2025)

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
by: Huang, Victor Shea-Jay, et al.
Published: (2025)

Block Cascading: Training Free Acceleration of Block-Causal Video Models
by: Bandyopadhyay, Hmrishav, et al.
Published: (2025)

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy
by: Wu, Pengyuan, et al.
Published: (2026)

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
by: Wu, Boqian, et al.
Published: (2024)

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models
by: So, Junhyuk, et al.
Published: (2023)

When Few Steps Are Enough: Training-Free Acceleration of Identity-Preserved Generation
by: Zheng, Dongqi
Published: (2026)

BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
by: Cui, Hanshuai, et al.
Published: (2025)

StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
by: Wang, Lezhong, et al.
Published: (2024)

Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion
by: Li, Xin, et al.
Published: (2025)

DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
by: He, Wenkun, et al.
Published: (2025)

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
by: Hyun, Jeongseok, et al.
Published: (2025)

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
by: Chen, Lei, et al.
Published: (2024)

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
by: Roy, Susim, et al.
Published: (2025)

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
by: Gao, Xin, et al.
Published: (2025)

Detail++: Training-Free Detail Enhancer for Text-to-Image Diffusion Models
by: Chen, Lifeng, et al.
Published: (2025)

Coupled Diffusion Sampling for Training-Free Multi-View Image Editing
by: Alzayer, Hadi, et al.
Published: (2025)

Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views
by: Feng, Haida, et al.
Published: (2025)

Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
by: Karmann, Markus, et al.
Published: (2024)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
by: Shen, Dazhong, et al.
Published: (2024)

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
by: Zheng, Haizhong, et al.
Published: (2024)

How to Train Your Long-Context Visual Document Model
by: Veselka, Austin
Published: (2026)

FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models
by: Zhong, Haonan, et al.
Published: (2026)

Training-Free Representation Guidance for Diffusion Models with a Representation Alignment Projector
by: Zu, Wenqiang, et al.
Published: (2026)

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
by: Wang, Qichao, et al.
Published: (2026)

DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
by: Zou, Chang, et al.
Published: (2026)

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment
by: Xu, Hang, et al.
Published: (2025)

DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
by: Kim, Dahye, et al.
Published: (2026)

Training-Free Acceleration of ViTs with Delayed Spatial Merging
by: Heo, Jung Hwan, et al.
Published: (2023)

FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video
by: Ezra, Rotem, et al.
Published: (2025)

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
by: Gokmen, Ahmet Berke, et al.
Published: (2025)

Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
by: Huang, Hongtao, et al.
Published: (2025)

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)