Cover Image

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Xin, Cao, Shijie, Cao, Ting, Chen, Zhibo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Q&C: When Quantization Meets Cache in Efficient Image Generation
by: Ding, Xin, et al.
Published: (2025)

Quantized Prompt for Efficient Generalization of Vision-Language Models
by: Hao, Tianxiang, et al.
Published: (2024)

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
by: Sui, Yang, et al.
Published: (2024)

Exploring Scalable Unified Modeling for General Low-Level Vision
by: Chen, Xiangyu, et al.
Published: (2025)

Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers
by: Ding, Rui, et al.
Published: (2024)

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
by: Zhong, Yi, et al.
Published: (2026)

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition
by: Ding, Xin, et al.
Published: (2025)

Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
by: Feng, Ruoyu, et al.
Published: (2025)

6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
by: Su, Rundong, et al.
Published: (2026)

Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
by: Deng, Huilin, et al.
Published: (2025)

Learning Visual Grounding from Generative Vision and Language Model
by: Wang, Shijie, et al.
Published: (2024)

Autoregressive Image Generation with Masked Bit Modeling
by: Yu, Qihang, et al.
Published: (2026)

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
by: Feng, Weilun, et al.
Published: (2024)

MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
by: Ren, Yulin, et al.
Published: (2024)

BitDance: Scaling Autoregressive Generative Models with Binary Tokens
by: Ai, Yuang, et al.
Published: (2026)

HQ-DM: Single Hadamard Transformation-Based Quantization-Aware Training for Low-Bit Diffusion Models
by: Mao, Shizhuo, et al.
Published: (2025)

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
by: Wang, Mingzi, et al.
Published: (2025)

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
by: Cao, Miao, et al.
Published: (2024)

Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
by: Lv, Kangtao, et al.
Published: (2024)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
by: He, Yefei, et al.
Published: (2023)

Training-free Camera Control for Video Generation
by: Hou, Chen, et al.
Published: (2024)

Towards Joint Quantization and Token Pruning of Vision-Language Models
by: Li, Xinqing, et al.
Published: (2026)

Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields
by: Gao, Yixin, et al.
Published: (2025)

LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models
by: Liu, Lu, et al.
Published: (2026)

LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing
by: Cao, Yuanming, et al.
Published: (2026)

Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
by: Tao, Keda, et al.
Published: (2025)

CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMs
by: Han, Insu, et al.
Published: (2025)

CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
by: Liu, Kai, et al.
Published: (2025)

QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
by: Chai, Bowen, et al.
Published: (2025)

Spatial-Temporal Multi-Scale Quantization for Flexible Motion Generation
by: Wang, Zan, et al.
Published: (2025)

ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
by: Cao, Hao, et al.
Published: (2026)

$S^3$: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models
by: Yin, Xiaojie, et al.
Published: (2024)

CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection
by: Wang, Guankun, et al.
Published: (2024)

Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs
by: Boroujeni, Sayed Pedram Haeri, et al.
Published: (2026)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
by: Liu, Wenzhuo, et al.
Published: (2024)

BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
by: Wang, Hongyu, et al.
Published: (2025)

QVGen: Pushing the Limit of Quantized Video Generative Models
by: Huang, Yushi, et al.
Published: (2025)

QMamba: Post-Training Quantization for Vision State Space Models
by: Li, Yinglong, et al.
Published: (2025)

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision
by: Zhou, Kailai, et al.
Published: (2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
by: Feng, Weilun, et al.
Published: (2025)