1 citations · 2 across the 8 of their papers we have counts for
9 papers
DriveWorld3D Evidence Constrained 3D World Modeling and Generative Simulation for Real-World Autonomous Driving
Wei Wang, Yiru Veronika Wang, Yihan Wang +2
Three dimensional modeling for autonomous driving must continuously estimate road geometry, obstacle occupancy, traffic participant behavior, and observational uncertainty under li…
GSPotential: Camera Potential Field for Sparse-View 3D Gaussian Splatting
Zeyuan An, Yanghang Xiao, Zhiying Leng +2
3D Gaussian Splatting has achieved remarkable success in photorealistic rendering, yet it suffers from severe overfitting and geometric artifacts in sparse-view scenarios due to th…
Multimodal Priors-Augmented Text-Driven 3D Human-Object Interaction Generation
Yin Wang, Ziyao Zhang, Zhiying Leng +4
We address the challenging task of text-driven 3D human-object interaction (HOI) motion generation. Existing methods primarily rely on a direct text-to-HOI mapping, which suffers f…
Dynamic Worlds, Dynamic Humans: Generating Virtual Human-Scene Interaction Motion in Dynamic Scenes
Yin Wang, Zhiying Leng, Haitian Liu +3
Scenes are continuously undergoing dynamic changes in the real world. However, existing human-scene interaction generation methods typically treat the scene as static, which deviat…
Cross-Temporal 3D Gaussian Splatting for Sparse-View Guided Scene Update
Zeyuan An, Yanghang Xiao, Zhiying Leng +2
Maintaining consistent 3D scene representations over time is a significant challenge in computer vision. Updating 3D scenes from sparse-view observations is crucial for various rea…
MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction
Yin Wang, Mu li, Zhiying Leng +2
We introduce MOST, a novel motion diffusion model via temporal clip Banzhaf interaction, aimed at addressing the persistent challenge of generating human motion from rare language…
Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation
Yin Wang, Mu Li, Jiapeng Liu +4
We address the challenging problem of fine-grained text-driven human motion generation. Existing works generate imprecise motions that fail to accurately capture relationships spec…
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
Zhiying Leng, Tolga Birdal, Xiaohui Liang +1
3D shape generation from text is a fundamental task in 3D representation learning. The text-shape pairs exhibit a hierarchical structure, where a general text like ``chair" covers…
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh +6
Reconstructing both objects and hands in 3D from a single RGB image is complex. Existing methods rely on manually defined hand-object constraints in Euclidean space, leading to sub…