7 papers
DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
Nisha Huang, Yizhou Lin, Jie Guo +3
Recently, diffusion-based material transfer methods rely on image fine-tuning or complex architectures with auxiliary networks but face challenges such as text dependency, addition…
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
Nisha Huang, Henglin Liu, Yizhou Lin +5
Recent diffusion-based methods for material transfer rely on image fine-tuning or complex architectures with assistive networks, but face challenges including text dependency, extr…
InfiniteDance: Scalable 3D Dance Generation Towards in-the-wild Generalization
Ronghui Li, Zhongyuan Hu, Li Siyao +6
Although existing 3D dance generation methods perform well in controlled scenarios, they often struggle to generalize in the wild. When conditioned on unseen music, existing method…
GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance
Haozhi Zhu, Miaomiao Zhao, Dingyao Liu +4
3D scene generation is a core technology for gaming, film/VFX, and VR/AR. Growing demand for rapid iteration, high-fidelity detail, and accessible content creation has further incr…
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
Peng Chen, Pi Bu, Yingyao Wang +9
Recent advances in Vision-Language-Action models (VLAs) have expanded the capabilities of embodied intelligence. However, significant challenges remain in real-time decision-making…
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing
Nisha Huang, Kaer Huang, Yifan Pu +5
Recent years have witnessed significant advancements in text-guided style transfer, primarily attributed to innovations in diffusion models. These models excel in conditional guida…