3 papers
cs.CV2025
TIDE: Achieving Balanced Subject-Driven Image Generation via Target-Instructed Diffusion Enhancement
Jibai Lin, Bo Ma, Yating Yang +6
Subject-driven image generation (SDIG) aims to manipulate specific subjects within images while adhering to textual instructions, a task crucial for advancing text-to-image diffusi…
cs.CV2024
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback
Xuexiang Niu, Jinping Tang, Lei Wang +1
Learning from feedback has been shown to enhance the alignment between text prompts and images in text-to-image diffusion models. However, due to the lack of focus in feedback cont…
cs.PF2023
A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads
Yikang Yang, Lei Wang, Jianfeng Zhan
During early stages of CPU design, benchmarks can only run on simulators to evaluate CPU performance. However, most big data benchmarks are too huge at code size scale, which cause…