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Biao Zhang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
ORCID 0000-0001-5685-6092
same name
  • Biao Zhang — 14 papers, h 25
  • Biao Zhang — 7 papers
  • Biao Zhang — 2 papers
  • Biao Zhang — 2 papers
  • Biao Zhang — 2 papers
  • Biao Zhang — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedInstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

9 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

A Lennard-Jones Layer for Distribution Normalization

Mulun Na, Jonathan Klein, Biao Zhang +3

We introduce the Lennard-Jones layer (LJL) for the equalization of the density of 2D and 3D point clouds through systematically rearranging points without destroying their overall…

cs.CV2024

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

Wei Cao, Chang Luo, Biao Zhang +2

We introduce Motion2VecSets, a 4D diffusion model for dynamic surface reconstruction from point cloud sequences. While existing state-of-the-art methods have demonstrated success i…

cs.CV2023★ 9 cited

InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions

Qian Wang, Biao Zhang, Michael Birsak +1

Recent works have explored text-guided image editing using diffusion models and generated edited images based on text prompts. However, the models struggle to accurately locate the…

cs.CV2023★ 3 cited

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path

Qian Wang, Biao Zhang, Michael Birsak +1

Image generation using diffusion can be controlled in multiple ways. In this paper, we systematically analyze the equations of modern generative diffusion networks to propose a fra…

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