Search Results for author: Yuxiang Wei

Found 23 papers, 17 papers with code

Entropy as a measurement of cognitive load in translation

no code implementations AMTA 2022 Yuxiang Wei

On the one hand, empirical studies show that HTra as a product-based metric can predict effort, and on the other, some conceptual analyses have provided theoretical justifications of entropy or entropy reduction as a description of translation from a process perspective.


SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions

1 code implementation9 Apr 2024 Xiaoyu Liu, Yuxiang Wei, Ming Liu, Xianhui Lin, Peiran Ren, Xuansong Xie, WangMeng Zuo

The key idea of our SmartControl is to relax the visual condition on the areas that are conflicted with text prompts.

VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models

1 code implementation8 Mar 2024 Yabo Zhang, Yuxiang Wei, Xianhui Lin, Zheng Hui, Peiran Ren, Xuansong Xie, Xiangyang Ji, WangMeng Zuo

Different from conventional T2V sampling (i. e., temporal and spatial modeling), VideoElevator explicitly decomposes each sampling step into temporal motion refining and spatial quality elevating.

Video Generation

PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis

1 code implementation4 Mar 2024 Zhengyao Lv, Yuxiang Wei, WangMeng Zuo, Kwan-Yee K. Wong

Extensive experiments demonstrate that our approach performs favorably in terms of visual quality, semantic consistency, and layout alignment.

Image Generation

Improving Image Restoration through Removing Degradations in Textual Representations

1 code implementation28 Dec 2023 Jingbo Lin, Zhilu Zhang, Yuxiang Wei, Dongwei Ren, Dongsheng Jiang, WangMeng Zuo

To address the cross-modal assistance, we propose to map the degraded images into textual representations for removing the degradations, and then convert the restored textual representations into a guidance image for assisting image restoration.

Deblurring Denoising +2

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation

1 code implementation26 Dec 2023 Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, WangMeng Zuo

Parameter-efficient fine-tuning (PEFT) methods have provided an effective way for adapting large vision-language models to specific tasks or scenarios.

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP

no code implementations19 Dec 2023 Ziyi Chen, Jize Jiang, Daqian Zuo, Heyi Tao, Jun Yang, Yuxiang Wei

This results in high computational costs and limits the number of retrieved text, hindering accuracy.


Decoupled Textual Embeddings for Customized Image Generation

1 code implementation19 Dec 2023 Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, WangMeng Zuo

To decouple irrelevant attributes (i. e., background and pose) from the subject embedding, we further present several attribute mappers that encode each image as several image-specific subject-unrelated embeddings.

Attribute Disentanglement +2

Magicoder: Source Code Is All You Need

1 code implementation4 Dec 2023 Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang

Magicoder models are trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets to generate high-quality instruction data for code.

Code Generation Text-to-Code Generation

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

1 code implementation1 Sep 2023 Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang

Therefore, we propose Repilot, a general code generation framework to further copilot the AI "copilots" (i. e., LLMs) by synthesizing more valid patches during the repair process.

Code Generation Program Repair +1

Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis

1 code implementation CVPR 2023 Yuxiang Wei, Zhilong Ji, Xiaohe Wu, Jinfeng Bai, Lei Zhang, WangMeng Zuo

Despite the progress in semantic image synthesis, it remains a challenging problem to generate photo-realistic parts from input semantic map.

Image Generation Object

ControlVideo: Training-free Controllable Text-to-Video Generation

1 code implementation22 May 2023 Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, WangMeng Zuo, Qi Tian

Text-driven diffusion models have unlocked unprecedented abilities in image generation, whereas their video counterpart still lags behind due to the excessive training cost of temporal modeling.

Image Generation Text-to-Video Generation +1

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

1 code implementation ICCV 2023 Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, WangMeng Zuo

In addition to the unprecedented ability in imaginary creation, large text-to-image models are expected to take customized concepts in image generation.

Text-to-Image Generation

A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration

1 code implementation21 Jul 2022 Ming Liu, Yuxiang Wei, Xiaohe Wu, WangMeng Zuo, Lei Zhang

Generative adversarial networks (GANs) have drawn enormous attention due to the simple yet effective training mechanism and superior image generation quality.

Image Generation Image Restoration

Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks

1 code implementation18 Jul 2022 Yabo Zhang, Mingshuai Yao, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, WangMeng Zuo

In this paper, we present a novel one-shot generative domain adaption method, i. e., DiFa, for diverse generation and faithful adaptation.

Domain Adaptation

Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation

1 code implementation21 Feb 2022 Jiawei Liu, Yuxiang Wei, Sen yang, Yinlin Deng, Lingming Zhang

Our results show that Tzer substantially outperforms existing fuzzing techniques on tensor compiler testing, with 75% higher coverage and 50% more valuable tests than the 2nd-best technique.

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

1 code implementation ICCV 2021 Yuxiang Wei, Yupeng Shi, Xiao Liu, Zhilong Ji, Yuan Gao, Zhongqin Wu, WangMeng Zuo

It simply encourages the variation of output caused by perturbations on different latent dimensions to be orthogonal, and the Jacobian with respect to the input is calculated to represent this variation.

Disentanglement Image Generation

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

1 code implementation ECCV 2020 Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, WangMeng Zuo

Despite recent advances in deep learning-based face frontalization methods, photo-realistic and illumination preserving frontal face synthesis is still challenging due to large pose and illumination discrepancy during training.

Face Generation

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