12 papers · 1 filter
PrefLUT: Reusable and Refinable Personalized Color Editing from Pairwise Preferences
Chuanzhi Xu, Langyi Chen, Chengkun Yue +5
Photographic color editing is inherently personal: the same image can appear too warm, too muted, or already satisfactory to different users. Most lookup table (LUT) and reference-…
ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead
Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2
Flow-matching models generate high-quality images and videos, but repeated neural network evaluations make sampling expensive. Skipping evaluations reduces this cost by extending a…
Calibrate What You SHIP: Post-Selection Risk Control for Verifier-Guided Text-to-Image Generation
Xuanhua Yin, Shunqi Mao, Wei Guo +2
Verifier-guided text-to-image systems increasingly use test-time search to select, refine, or stop among multiple candidates, yet release thresholds are often calibrated on individ…
Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement
Chuanzhi Xu, Ziyuan Tao, Jean Julien KNell +5
Personalized image enhancement should reflect individual aesthetic taste, yet learning such preferences commonly depends on private photos and ratings that are unsuitable for centr…
SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence
Chuanzhi Xu, Zihan Deng, Huiqi Liang +4
Scientific figure assessment in peer review differs fundamentally from general image quality evaluation: a figure must be visually legible, faithfully support the manuscript's clai…
EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +5
Low-light image enhancement is severely ill-posed when the input frame contains missing structure, saturated noise, and weak local contrast. Event cameras provide asynchronous brig…
SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers
Xuanhua Yin, Yuxuan Jia, Chuanzhi Xu +1
High-resolution Diffusion Transformer (DiT) inference contains substantial spatial redundancy, but many spatially adaptive implementations encode regional computation as attention…
FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics
Langyi Chen, Chuanzhi Xu, Haoxian Zhou +6
Event cameras asynchronously report brightness changes with microsecond-level temporal resolution, but real event data remain difficult to collect at scale because specialized sens…
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
Chuanzhi Xu, Boyu Wei, Haoxian Zhou +5
As 3D Gaussian Splatting (3DGS) gains attention in immersive media and digital content creation, assessing the aesthetics of 3D scenes becomes important in helping creators build m…
AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation
Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2
Diffusion Transformers (DiTs) are a dominant backbone for high-fidelity text-to-image generation due to strong scalability and alignment at high resolutions. However, quadratic sel…
Exploiting Spatiotemporal Properties for Efficient Event-Driven Human Pose Estimation
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +4
Human pose estimation focuses on predicting body keypoints to analyze human motion. Currently, most pose estimation tasks rely on conventional RGB cameras. In contrast, event camer…
AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports
Xiangwen Zhang, Qian Zhang, Longfei Han +3
Collecting real-world vehicle accident videos for autonomous driving research is challenging due to their rarity and complexity. While existing driving video generation methods may…