10 papers
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Ruihang Chu, Yefei He, Zhekai Chen +10
We present Wan-Move, a simple and scalable framework that brings motion control to video generative models. Existing motion-controllable methods typically suffer from coarse contro…
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
Junwen Zheng, Xinran Xu, Li Rong Wang +5
Deep learning has demonstrated expert-level performance in melanoma classification, positioning it as a powerful tool in clinical dermatology. However, model opacity and the lack o…
Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Masking
Yuteng Ye, Zheng Zhang, Qinchuan Zhang +5
Controllable 3D style transfer seeks to restyle a 3D asset so that its textures match a reference image while preserving the integrity and multi-view consistency. The prevalent met…
OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
Chongyu Wang, Kunlei Jing, Jihua Zhu +1
Open-vocabulary semantic segmentation enables models to recognize and segment objects from arbitrary natural language descriptions, offering the flexibility to handle novel, fine-g…
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels
HunyuanWorld Team, Zhenwei Wang, Yuhao Liu +52
Creating immersive and playable 3D worlds from texts or images remains a fundamental challenge in computer vision and graphics. Existing world generation approaches typically fall…
Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction
Zhensheng Yuan, Haozhi Huang, Zhen Xiong +2
We present a framework that enables fast reconstruction and real-time rendering of urban-scale scenes while maintaining robustness against appearance variations across multi-view c…