Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling
Abstract
Scone unifies subject composition and distinction in subject-driven image generation. Its understanding expert acts as a semantic bridge to guide generation, supported by a two-stage training scheme and the SconeEval benchmark.
Type
Publication
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026
Xiaochen Ma
Ph.D. Student in Computer Science and Engineering
I work on data infrastructure and high-performance distributed systems for large-scale LLM data preparation, with a focus on Ray and Apache Spark.