16 papers
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…
VirSqueezer: Generating Realistic Deformations and Squeezing Dynamics in VR from Fine-Grained Squeezing Controls
Qian Zhang, Xiaoming Chen, Xiaorui Ma +2
Squeezing is one of the most natural forms of hand manipulation, inherently involving fine-grained, temporally evolving, per-finger flexion. In VR content creation, squeezing plays…
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…
A First Exploration of Neuromorphic OT-CFM for Multi-Speaker VSR
Lin Chen, Jingping Fang, Hairui Liu +5
Visual Speech Recognition (VSR) tasks in complex multi-speaker scenarios are severely hindered by rapid head motions, occlusions, and subtle lip articulations. Traditional RGB-base…
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…
Can We Hear from Events? Generating Speech from Event Camera
Jingping Fang, Lin Chen, Chenyang Xu +3
Traditional RGB-based speech generation faces Temporal Granularity Mismatch since fixed camera exposure times inevitably blur the high-frequency articulatory transients essential f…
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…
DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches
Chuanzhi Xu, Huiqi Liang, Bang Shi +7
Long video generation requires high-fidelity visual synthesis, coherent narrative organization, shot-level structure, and explicit user control. Existing text-to-video methods typi…
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…