11 papers
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots
Sunqi Fan, Lingshan Chen, Runqi Yin +4
Data, as the fundamental substrate of modern intelligence, has greatly driven the development of current foundation models. Naturally, researchers aim to extend this paradigm to th…
TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation
Cheng-Feng Pu, Jia-Peng Zhang, Meng-Hao Guo +2
The explosion of generative 3D assets has created a massive demand for animation, yet current motion capture methods remain brittle, restricted to species-specific templates (e.g.,…
Pixal3D: Pixel-Aligned 3D Generation from Images
Dong-Yang Li, Wang Zhao, Yuxin Chen +5
Recent advances in 3D generative models have rapidly improved image-to-3D synthesis quality, enabling higher-resolution geometry and more realistic appearance. Yet fidelity, which…
OSCBench: Benchmarking Object State Change in Text-to-Video Generation
Xianjing Han, Bin Zhu, Shiqi Hu +4
Text-to-video (T2V) generation models have made rapid progress in producing visually high-quality and temporally coherent videos. However, existing benchmarks primarily focus on pe…
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Yi Zhang, Bolin Ni, Xin-Sheng Chen +7
Fully open multimodal large language models (MLLMs) currently lag behind proprietary counterparts, primarily due to a significant gap in data quality for supervised fine-tuning (SF…
Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts
Yuxuan Han, Meng-Hao Guo, Zhengning Liu +2
Optimizing GPU kernels manually is a challenging and time-consuming task. With the rapid development of LLMs, automated GPU kernel optimization is gradually becoming a tangible rea…