3 papers
cs.CV2025
Q&C: When Quantization Meets Cache in Efficient Image Generation
Xin Ding, Xin Li, Haotong Qin +1
Quantization and cache mechanisms are typically applied individually for efficient Diffusion Transformers (DiTs), each demonstrating notable potential for acceleration. However, th…
cs.LG2025
A Comprehensive Review on Noise Control of Diffusion Model
Zhehao Guo, Jiedong Lang, Shuyu Huang +2
Diffusion models have recently emerged as powerful generative frameworks for producing high-quality images. A pivotal component of these models is the noise schedule, which governs…
cs.CV2025
Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models
Xin Ding, Shijie Cao, Ting Cao +1
Vision generative models have recently made significant advancements along two primary paradigms: diffusion-style and language-style, both of which have demonstrated excellent scal…