activity
20232025
most citedGaussian Mixture Solvers for Diffusion Models

1 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis

Shitong Shao, Hongwei Yi, Hanzhong Guo +5

Recently, open-source video diffusion models (VDMs), such as WanX, Magic141 and HunyuanVideo, have been scaled to over 10 billion parameters. These large-scale VDMs have demonstrat…

cs.CV20241 cited

Real-time One-Step Diffusion-based Expressive Portrait Videos Generation

Hanzhong Guo, Hongwei Yi, Daquan Zhou +3

Latent diffusion models have made great strides in generating expressive portrait videos with accurate lip-sync and natural motion from a single reference image and audio input. Ho…

cs.CV20241 cited

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation

Longtao Zheng, Yifan Zhang, Hanzhong Guo +6

Recent advances in video diffusion models have unlocked new potential for realistic audio-driven talking video generation. However, achieving seamless audio-lip synchronization, ma…

cs.CR2024

FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space

Yiyang Guo, Ruizhe Li, Mude Hui +5

Invisible watermarking is essential for safeguarding digital content, enabling copyright protection and content authentication. However, existing watermarking methods fall short in…

cs.NE20241 cited

Spiking Diffusion Models

Jiahang Cao, Hanzhong Guo, Ziqing Wang +4

Recent years have witnessed Spiking Neural Networks (SNNs) gaining attention for their ultra-low energy consumption and high biological plausibility compared with traditional Artif…

cs.LG20231 cited

Gaussian Mixture Solvers for Diffusion Models

Hanzhong Guo, Cheng Lu, Fan Bao +4

Recently, diffusion models have achieved great success in generative tasks. Sampling from diffusion models is equivalent to solving the reverse diffusion stochastic differential eq…