Search Results for author: Lingting Zhu

Found 7 papers, 4 papers with code

Generative Enhancement for 3D Medical Images

1 code implementation19 Mar 2024 Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu

Our method begins with a 2D slice, noted as the informed slice to serve the patient prior, and propagates the generation process using a 3D segmentation mask.

counterfactual Image Generation

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting

1 code implementation21 Jan 2024 Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu

Specifically, our approach incorporates deformation fields to handle dynamic scenes, depth-guided supervision with spatial-temporal weight masks to optimize 3D targets with tool occlusion from a single viewpoint, and surface-aligned regularization terms to capture the much better geometry.

3D Reconstruction

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

no code implementations18 Jan 2024 Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li

Customized text-to-video generation aims to generate high-quality videos guided by text prompts and subject references.

Object Text-to-Video Generation +1

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

1 code implementation NeurIPS 2023 Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu

Next, a deletion diagnostics procedure is conducted to model relations of these semantic-level representations via perceiving the network outputs and the extracted relations are utilized to guide the semantic-level representations to interact with each other.

Relation Relation Network +1

Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars

no code implementations27 Aug 2023 Weijia Feng, Lingting Zhu, Lequan Yu

However, the adoption of foundational models in the medical domain presents a challenge due to the difficulty and expense of labeling sufficient data for adaptation within hospital systems.

Brain Tumor Segmentation Image Segmentation +3

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

no code implementations19 Jul 2023 Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu

This paradigm extends the 2D image diffusion model to a volumetric version with a slightly increasing number of parameters and computation, offering a principled solution for generic cross-modality 3D medical image synthesis.

Computational Efficiency Image Generation

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

1 code implementation CVPR 2023 Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu

In this work, we propose a novel diffusion-based framework, named Diffusion Co-Speech Gesture (DiffGesture), to effectively capture the cross-modal audio-to-gesture associations and preserve temporal coherence for high-fidelity audio-driven co-speech gesture generation.

Gesture Generation

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