5 papers
Energy-Guided Flow Matching
Haoyang Tong, Yu He, Fang Li +6
Pixel-space generative models bypass lossy latent compression, yet necessitate joint learning of global structure and fine-grained details in a high-dimensional space. Standard flo…
Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
Hongbo Wang, Huaibo Huang, Jie Cao +3
While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric c…
AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting
Dexu Zhu, Jiangnan Shao, Xiaofeng Wang +4
3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-fidelity rendering. However, existing assets often suffer from quality bottlenecks such as missing de…
HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling
Hexiong Yang, Mingrui Chen, Huaibo Huang +4
Inspired by the great success of Masked Language Modeling (MLM) in the natural language domain, the paradigm of self-supervised pre-training and fine-tuning has also achieved remar…
TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
Wenkui Yang, Zhida Zhang, Xiaoqiang Zhou +2
The emergence and popularity of facial deepfake methods spur the vigorous development of deepfake datasets and facial forgery detection, which to some extent alleviates the securit…