activity
20242026
most citedSemantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

Weiliang Chen, Haowen Sun, Jun Gao +40

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This is especially critical for world models, w…

cs.CV2026

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction

Wei Cao, Hao Zhang, Fengrui Tian +5

Camera redirection aims to replay a dynamic scene from a single monocular video under a user-specified camera trajectory. However, large-angle redirection is inherently ill-posed:…

cs.CV2025

Voyaging into Perpetual Dynamic Scenes from a Single View

Fengrui Tian, Tianjiao Ding, Jinqi Luo +2

The problem of generating a perpetual dynamic scene from a single view is an important problem with widespread applications in augmented and virtual reality, and robotics. However,…

cs.CV2024

Learning a Category-level Object Pose Estimator without Pose Annotations

Fengrui Tian, Yaoyao Liu, Adam Kortylewski +4

3D object pose estimation is a challenging task. Previous works always require thousands of object images with annotated poses for learning the 3D pose correspondence, which is lab…

cs.CV20241 cited

Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos

Fengrui Tian, Yueqi Duan, Angtian Wang +2

In this work, we pioneer Semantic Flow, a neural semantic representation of dynamic scenes from monocular videos. In contrast to previous NeRF methods that reconstruct dynamic scen…