:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Cheng, Giannoula, Christina, Moshovos, Andreas
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2408.06995
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers
par: Chen, Ruichen, et autres
Publié: (2025)

Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
par: Liu, Weihang, et autres
Publié: (2024)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
par: Dotzel, Jordan, et autres
Publié: (2023)

LLM-FP4: 4-Bit Floating-Point Quantized Transformers
par: Liu, Shih-yang, et autres
Publié: (2023)

FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design
par: Wei, Renjie, et autres
Publié: (2025)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
par: He, Yefei, et autres
Publié: (2023)

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
par: Wang, Haoxuan, et autres
Publié: (2024)

Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging
par: Nguyen, Phat, et autres
Publié: (2026)

Accelerate High-Quality Diffusion Models with Inner Loop Feedback
par: Gwilliam, Matthew, et autres
Publié: (2025)

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning
par: Ge, Yunyang, et autres
Publié: (2026)

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
par: Guo, Hang, et autres
Publié: (2024)

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
par: Feng, Weilun, et autres
Publié: (2024)

HQ-DM: Single Hadamard Transformation-Based Quantization-Aware Training for Low-Bit Diffusion Models
par: Mao, Shizhuo, et autres
Publié: (2025)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
par: Wang, Zhendong, et autres
Publié: (2025)

VividFace: High-Quality and Efficient One-Step Diffusion For Video Face Enhancement
par: Zhang, Shulian, et autres
Publié: (2025)

QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter
par: Boerkamp, Christiaan, et autres
Publié: (2025)

Timestep-Aware Correction for Quantized Diffusion Models
par: Yao, Yuzhe, et autres
Publié: (2024)

Learning Quantized Adaptive Conditions for Diffusion Models
par: Liang, Yuchen, et autres
Publié: (2024)

Memory-Efficient Fine-Tuning for Quantized Diffusion Model
par: Ryu, Hyogon, et autres
Publié: (2024)

PQD: Post-training Quantization for Efficient Diffusion Models
par: Ye, Jiaojiao, et autres
Publié: (2024)

Efficient Personalization of Quantized Diffusion Model without Backpropagation
par: Seo, Hoigi, et autres
Publié: (2025)

Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
par: Romanelis, Ioannis, et autres
Publié: (2024)

TAFG-MAN: Timestep-Adaptive Frequency-Gated Latent Diffusion for Efficient and High-Quality Low-Dose CT Image Denoising
par: Fang, Tangtangfang, et autres
Publié: (2026)

MAN: Latent Diffusion Enhanced Multistage Anti-Noise Network for Efficient and High-Quality Low-Dose CT Image Denoising
par: Fang, Tangtangfang, et autres
Publié: (2025)

Sampling-Aware Quantization for Diffusion Models
par: Zeng, Qian, et autres
Publié: (2025)

Diffusion Model Quantization: A Review
par: Zeng, Qian, et autres
Publié: (2025)

BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained Devices
par: Xu, Yongqi, et autres
Publié: (2024)

LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition
par: Xu, Jiuyi, et autres
Publié: (2025)

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
par: Huang, Haocheng, et autres
Publié: (2024)

6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
par: Su, Rundong, et autres
Publié: (2026)

Quantized Prompt for Efficient Generalization of Vision-Language Models
par: Hao, Tianxiang, et autres
Publié: (2024)

PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
par: Wang, Duanchu, et autres
Publié: (2026)

Diffusion Product Quantization
par: Shao, Jie, et autres
Publié: (2024)

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation
par: Lv, Zhengyao, et autres
Publié: (2025)

HighSync: High-Quality Lip Synchronization via Latent Diffusion Models
par: Daghigh, Saeed Firouzi, et autres
Publié: (2026)

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
par: Hu, Teng, et autres
Publié: (2024)

TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models
par: Sun, Haojun, et autres
Publié: (2024)

PDT: Point Distribution Transformation with Diffusion Models
par: Wang, Jionghao, et autres
Publié: (2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
par: Feng, Weilun, et autres
Publié: (2025)

Low-Frequency First: Eliminating Floating Artifacts in 3D Gaussian Splatting
par: Wang, Jianchao, et autres
Publié: (2025)