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20242026
most citedAutomatic Controllable Colorization via Imagination

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing

Xiaoyan Cong, Tianyu Wang, Hyeonho Jeong +7

Creative intent in video editing can be expressed through text instructions (e.g., "remove the people"), image references (e.g., subject appearance), video references (e.g., camera…

cs.AI2026

Can LLMs Predict the Future? A Brier Score Analysis of Prediction Markets

Yuanbo Li, Zekun Li, Xiaoyan cong

We study whether model upgrades improve probability estimates for prediction-market questions. Our Resolved Market Forecasting (RMF) benchmark contains 3,000 resolved binary questi…

cs.CV2026

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Hongyang Du, Yunfei Xie, Junjie Ye +13

Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image gen…

cs.CV2026

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

Zekun Li, Xiaoyan Cong, Hongyu Li +5

Streaming video diffusion models have made substantial progress toward interactive and dynamic world simulation, but the nested autoregressive and denoising loops of conventional n…

cs.RO2026

Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models

Hongyu Li, Wanjia Fu, Xiaoyan Cong +11

Predicting object dynamics (i.e., world modeling) is a fundamental challenge for robotic manipulation, and modeling deformable objects presents a particularly difficult case due to…

cs.CV2026

UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors

Xiaoyan Cong, Zekun Li, Zhiyang Dou +9

Large-scale foundation models (LFMs) have recently made impressive progress in text-to-motion generation by learning strong generative priors from massive 3D human motion datasets…

cs.CV2026

PackUV: Packed Gaussian UV Maps for 4D Volumetric Video

Aashish Rai, Angela Xing, Anushka Agarwal +5

Volumetric videos offer immersive 4D experiences, but remain difficult to reconstruct, store, and stream at scale. Existing Gaussian Splatting based methods achieve high-quality re…

cs.CV2026

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Hongyang Du, Junjie Ye, Xiaoyan Cong +7

While recent video diffusion models (VDMs) produce visually impressive results, they fundamentally struggle to maintain 3D structural consistency, often resulting in object deforma…