17 citations · 17 across the 3 of their papers we have counts for
4 papers
Positional Encoding Field
Yunpeng Bai, Haoxiang Li, Qixing Huang
Diffusion Transformers (DiTs) have emerged as the dominant architecture for visual generation, powering state-of-the-art image and video models. By representing images as patch tok…
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng +3
Towards intelligent image editing, object removal should eliminate both the target object and its causal visual artifacts, such as shadows and reflections. However, existing image…
ControlHair: Synergizing Physics Simulator and Video Diffusion for Controllable Dynamic Hair Rendering
Weikai Lin, Haoxiang Li, Yuhao Zhu
Hair simulation and rendering are challenging due to complex strand dynamics, diverse material properties, and intricate light-hair interactions. Recent video diffusion models can…
Learning Dense Facial Correspondences in Unconstrained Images
Ronald Yu, Shunsuke Saito, Haoxiang Li +2
We present a minimalistic but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matc…