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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…
R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
Meng-Hao Guo, Jiajun Xu, Yi Zhang +14
Reasoning stands as a cornerstone of intelligence, enabling the synthesis of existing knowledge to solve complex problems. Despite remarkable progress, existing reasoning benchmark…
CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo +2
In the field of digital content creation, generating high-quality 3D characters from single images is challenging, especially given the complexities of various body poses and the i…