activity
20232026
most citedNatural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Loopy: Seamless Video Loop Generation via Anchored Looping Shift of Positional Embedding

Haotian Dong, Wenjing Wang, Chen Li +3

Looping videos are essential for practical applications such as web graphics, game development, and social media. However, existing approaches typically fail to generate high-quali…

cs.CV2026

From Understanding to Erasing: Towards Complete and Stable Video Object Removal

Dingming Liu, Wenjing Wang, Chen Li +2

Video object removal aims to erase target objects while reconstructing visually plausible and temporally coherent content. However, target objects often induce shadows, reflections…

cs.CV2025

Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner

Haotian Dong, Wenjing Wang, Chen Li +2

Generating RGB-A videos, which include alpha channels for transparency, has wide applications. However, current methods often suffer from low quality due to confusion between RGB a…

cs.CV2025

NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration

Haotian Dong, Xin Wang, Di Lin +6

High-quality video generation is crucial for many fields, including the film industry and autonomous driving. However, generating videos with spatiotemporal consistencies remains c…

cs.CV2023★ 1 cited

Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes

Kairui Yang, Zihao Guo, Gengjie Lin +8

We advocate the idea of the natural-language-driven(NLD) simulation to efficiently produce the object interactions between multiple objects in the virtual road scenes, for teaching…

cs.CV2023

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion

Haotian Dong, Enhui Ma, Lubo Wang +7

Semantic scene completion (SSC) requires an accurate understanding of the geometric and semantic relationships between the objects in the 3D scene for reasoning the occluded object…