5 citations · 8 across the 12 of their papers we have counts for
5 papers · 1 filter
MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture
Hui Li, Fu-Yun Wang, Haoyuan Xia +4
This paper studies the training-testing discrepancy (a.k.a. exposure bias) problem for improving the diffusion models. During training, the input of a prediction network at one tra…
Head-wise Adaptive Rotary Positional Encoding for Fine-Grained Image Generation
Jiaye Li, Baoyou Chen, Hui Li +3
Transformers rely on explicit positional encoding to model structure in data. While Rotary Position Embedding (RoPE) excels in 1D domains, its application to image generation revea…
DicFace: Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration
Yan Chen, Hanlin Shang, Ce Liu +6
Video face restoration faces a critical challenge in maintaining temporal consistency while recovering fine facial details from degraded inputs. This paper presents a novel approac…
Pyramidal Patchification Flow for Visual Generation
Hui Li, Baoyou Chen, Liwei Zhang +3
Diffusion transformers (DiTs) adopt Patchify, mapping patch representations to token representations through linear projections, to adjust the number of tokens input to DiT blocks…
OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
Hui Li, Mingwang Xu, Yun Zhan +8
Recent advancements in visual generation technologies have markedly increased the scale and availability of video datasets, which are crucial for training effective video generatio…