Cover Image

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhan, Zheng, Wu, Yushu, Gong, Yifan, Meng, Zichong, Kong, Zhenglun, Yang, Changdi, Yuan, Geng, Zhao, Pu, Niu, Wei, Wang, Yanzhi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Token Reduction for State Space Models
by: Zhan, Zheng, et al.
Published: (2024)

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Exploring Token Pruning in Vision State Space Models
by: Zhan, Zheng, et al.
Published: (2024)

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation
by: Zhao, Lin, et al.
Published: (2026)

Search for Efficient Large Language Models
by: Shen, Xuan, et al.
Published: (2024)

InstructGIE: Towards Generalizable Image Editing
by: Meng, Zichong, et al.
Published: (2024)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
by: Liu, Jun, et al.
Published: (2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform
by: Liu, Jun, et al.
Published: (2025)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
by: Liu, Jun, et al.
Published: (2024)

Structured Agent Distillation for Large Language Model
by: Liu, Jun, et al.
Published: (2025)

Squat: Quant Small Language Models on the Edge
by: Shen, Xuan, et al.
Published: (2024)

LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
by: Xiao, Yang, et al.
Published: (2025)

Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices
by: Gong, Yifan, et al.
Published: (2024)

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance
by: Shen, Xuan, et al.
Published: (2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
by: Kong, Zhenglun, et al.
Published: (2025)

Pruning Foundation Models for High Accuracy without Retraining
by: Zhao, Pu, et al.
Published: (2024)

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
by: Tan, Qitao, et al.
Published: (2025)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
by: Wu, Chao, et al.
Published: (2024)

Taming Diffusion for Dataset Distillation with High Representativeness
by: Zhao, Lin, et al.
Published: (2025)

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
by: Shen, Xuan, et al.
Published: (2023)

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
by: Yang, Xiaomeng, et al.
Published: (2025)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge
by: Shen, Xuan, et al.
Published: (2025)

Taming Diffusion Transformer for Efficient Mobile Video Generation in Seconds
by: Wu, Yushu, et al.
Published: (2025)

From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs
by: Deng, Kaiyuan, et al.
Published: (2026)

Advancing time series completion via RFAMoE and MDFF
by: Zhang, Ci, et al.
Published: (2025)

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
by: Shen, Xuan, et al.
Published: (2025)

Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All Devices
by: Ng, Jingxu, et al.
Published: (2024)

Efficient Training with Denoised Neural Weights
by: Gong, Yifan, et al.
Published: (2024)

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement
by: Zhao, Pu, et al.
Published: (2024)

Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA
by: Zhao, Pu, et al.
Published: (2025)

S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation
by: Zhao, Lin, et al.
Published: (2026)

Streamlining Video Analysis for Efficient Violence Detection
by: Pathak, Gourang, et al.
Published: (2024)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
by: Shen, Xuan, et al.
Published: (2024)

H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models
by: Wu, Yushu, et al.
Published: (2025)

Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
by: Zhao, Jiancheng, et al.
Published: (2025)

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
by: Zhao, Yushu, et al.
Published: (2025)

FluidML: Fast and Memory Efficient Inference Optimization
by: Liu, Jinjie, et al.
Published: (2024)