1 citations · 1 across the 4 of their papers we have counts for
5 papers
Generate "Normal", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing
Desen Sun, Jason Hon, Howe Wang +3
With the rapid advancement of generative AI, users increasingly rely on image-generation models for image design and creation. To achieve faithful outputs, users typically engage i…
HybridStitch: Token-Adaptive Model Stitching for Efficient Diffusion Generation
Desen Sun, Jason Hon, Jintao Zhang +1
Iterative diffusion generation requires different amounts of model capacity at different token positions. Prior model combinations allocate capacity by denoising step or by draftin…
Attacks on Approximate Caches in Text-to-Image Diffusion Models
Desen Sun, Shuncheng Jie, Sihang Liu
Diffusion models are a powerful class of generative models that produce images and other content from user prompts, but they are computationally intensive. To mitigate this cost, r…
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
Yuyang Tian, Desen Sun, Yi Ding +1
As large language models (LLMs) become widely used, their environmental impact, especially carbon emission, has attracted more attention. Prior studies focus on compute-related car…
FlexCache: Flexible Approximate Cache System for Video Diffusion
Desen Sun, Henry Tian, Tim Lu +1
Text-to-Video applications receive increasing attention from the public. Among these, diffusion models have emerged as the most prominent approach, offering impressive quality in v…