Search Results for author: Wenhang Ge

Found 5 papers, 4 papers with code

Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models

1 code implementation26 Jun 2023 Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-Cong Chen

The ``Decompose'' phase separates conditions based on pair relationships, computing the result individually for each pair.

Image Generation

Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection

1 code implementation ICCV 2023 Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen

We show that together with a reflection direction-dependent radiance, our model achieves high-quality surface reconstruction on reflective surfaces and outperforms the state-of-the-arts by a large margin.

3D Reconstruction Multi-View 3D Reconstruction +1

Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval

no code implementations27 Sep 2022 Chengzhi Lin, AnCong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen

To address this problem, we propose a Text-Adaptive Multiple Visual Prototype Matching model, which automatically captures multiple prototypes to describe a video by adaptive aggregation of video token features.

Cross-Modal Retrieval Retrieval +2

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

1 code implementation CVPR 2022 Chao Wu, Wenhang Ge, AnCong Wu, Xiaobin Chang

To learn camera-view invariant features for person Re-IDentification (Re-ID), the cross-camera image pairs of each person play an important role.

Person Re-Identification

Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes

1 code implementation29 Jul 2021 Wenhang Ge, Chunyan Pan, AnCong Wu, Hongwei Zheng, Wei-Shi Zheng

To learn camera-invariant representation from cross-camera unpaired training data, we propose a cross-camera feature prediction method to mine cross-camera self supervision information from camera-specific feature distribution by transforming fake cross-camera positive feature pairs and minimize the distances of the fake pairs.

Person Re-Identification

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