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Chaojun Ni

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2025

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration

Chaojun Ni, Jie Li, Haoyun Li +8

Interactive 3D scene generation from a single image has gained significant attention due to its potential to create immersive virtual worlds. However, a key challenge in current 3D…

cs.CV2025

HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation

Boyuan Wang, Xiaofeng Wang, Chaojun Ni +9

Human-motion video generation has been a challenging task, primarily due to the difficulty inherent in learning human body movements. While some approaches have attempted to drive…

cs.CV2024

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

Chaojun Ni, Guosheng Zhao, Xiaofeng Wang +13

Closed-loop simulation is crucial for end-to-end autonomous driving. Existing sensor simulation methods (e.g., NeRF and 3DGS) reconstruct driving scenes based on conditions that cl…

cs.CV2024

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang +9

Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on condit…

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