most citedTaming Video Models for 3D and 4D Generation via Zero-Shot Camera Control

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

World in World: Explore the World with World Models

Chenxi Song, Yanming Yang, Chi Zhang

Autoregressive video world models enable interactive, long-horizon exploration, but flexible control remains challenging. Exploring a source video from new viewpoints requires the…

cs.CV2026

GSCI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors

Yanming Yang, Chenxi Song, Ping Wang +2

Snapshot Compressive Imaging (SCI) offers an efficient solution for high-speed video acquisition and, under exposure-time camera--scene relative motion, multi-view scene capture by…

cs.CV2025

Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration

Mengyu Yang, Yanming Yang, Chenyi Xu +5

Diffusion models have achieved impressive generative quality across modalities like 2D images, videos, and 3D shapes, but their inference remains computationally expensive due to t…

cs.GR2025★ 1 cited

Taming Video Models for 3D and 4D Generation via Zero-Shot Camera Control

Chenxi Song, Yanming Yang, Tong Zhao +2

Video diffusion models have rich world priors, but their use in spatial tasks is limited by poor control, spatial-temporal inconsistent results, and entangled scene-camera dynamics…

cs.CV2025

FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing

Guangzhao Li, Yanming Yang, Chenxi Song +1

Text-driven video editing aims to modify video content based on natural language instructions. While recent training-free methods have leveraged pretrained diffusion models, they o…

cs.CV2025

Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator

Xiankang He, Dongyan Guo, Hongji Li +3

Recent advances in zero-shot monocular depth estimation(MDE) have significantly improved generalization by unifying depth distributions through normalized depth representations and…