activity
20222026
most citedPIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

28 citations · 37 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2026

Wonder: Video World Model Done Better

Jiacong Xu, Hanwen Jiang, Zhixin Shu +3

We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration. Given an image or a conditional video, Wonder constructs a playable wor…

cs.CV2026

InstantHDR: Single-forward Gaussian Splatting Initialization for HDR 3D Reconstruction

Dingqiang Ye, Jiacong Xu, Jianglu Ping +3

High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes from multi-exposure low dynamic range (LDR) images. Existing HDR pipelines heavily rely on known…

cs.CV2025

Endless World: Real-Time 3D-Aware Long Video Generation

Ke Zhang, Yiqun Mei, Jiacong Xu +1

Producing long, coherent video sequences with stable 3D structure remains a major challenge, particularly in streaming scenarios. Motivated by this, we introduce Endless World, a r…

cs.CV2025

FreeViS: Training-free Video Stylization with Inconsistent References

Jiacong Xu, Yiqun Mei, Ke Zhang +1

Video stylization plays a key role in content creation, but it remains a challenging problem. Naïvely applying image stylization frame-by-frame hurts temporal consistency and reduc…

cs.CV2025★ 1 cited

Think Before You Diffuse: Infusing Physical Rules into Video Diffusion

Ke Zhang, Cihan Xiao, Jiacong Xu +2

Recent video diffusion models have demonstrated their great capability in generating visually-pleasing results, while synthesizing the correct physical effects in generated videos…

cs.CV2025

Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning

Bardia Safaei, Faizan Siddiqui, Jiacong Xu +2

Visual instruction tuning (VIT) for large vision-language models (LVLMs) requires training on expansive datasets of image-instruction pairs, which can be costly. Recent efforts in…