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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
一文带你了解OpenAI Sora
Published:
This post explains the basics of OpenAI Sora, a new text-to-video technology developed by OpenAI. Check out the post for more details.
Inpaint Anything: Segment Anything Meets Image Inpainting
Published:
We introduce Inpaint Anything (IA), a mask-free image inpainting system based on the Segment-Anything Model (SAM). IA offers a “clicking and filling” paradigm, combining different models to create a powerful, user-friendly pipeline for inpainting tasks. It supports three features: Remove Anything, Fill Anything, and Replace Anything, allowing users to remove objects, fill holes with generative content, or replace backgrounds with new scenes. Check out the post for more details!
A Closer Look at ChatGPT
Published:
This post explains the details of the ChatGPT model and how it works. Check out the post for more details.
Gato: A Generalist Agent (An RL Foundation Model)
Published:
Paper reading and summary of Gato. Chech out the post for more details.
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Published:
Paper reading and summary of DenseCLIP. Chech out the post for more details.
CoCoOp: Conditional Prompt Learning for Vision-Language Models
Published:
Paper reading and summary of CoCoOp. Chech out the post for more details.
CoOp: Learning to Prompt for Vision-Language Models
Published:
Paper reading and summary of CoOp. Chech out the post for more details.
CLIP: Learning Transferable Visual Models From Natural Language Supervision
Published:
Paper reading and summary of CLIP. Chech out the post for more details.
从MuZero到EfficientZero:Make MBRL Great Again
Published:
I recap the recent progress of MuZero and EfficientZero in the field of Model-Based Reinforcement Learning (MBRL). Chech out the post for more details.
Prioritized Experience Replay
Published:
Paper reading and summary of Prioritized Experience Replay (PER). Chech out the post for more details.
【Offline RL】再读BCQ
Published:
Paper reading and summary of BCQ. Chech out the post for more details.
RL Transformer之Decision Transformer
Published:
Paper reading and summary of Decision Transformer. Chech out the post for more details.
【IS视角下的PPO】从Importance Sampling(IS)到PPO
Published:
I recap the Importance Sampling (IS) and Proximal Policy Optimization (PPO) algorithms in the context of RL. Chech out the post for more details.
光速推导REINFORCE
Published:
Paper reading and summary of REINFORCE. Chech out the post for more details.
RL Transformer之Trajectory Transformers
Published:
Paper reading and summary of Trajectory Transformers. Chech out the post for more details.
publications
Interleaved Zooming Network for Image Inpainting
Sen Liu, Zongyu Guo, Jiale Chen, Tao Yu, Zhibo Chen
IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019
Champion Solution of the ICME 2019 Grand Challenge on Learning-Based Image Inpainting
Progressive Image Inpainting with Full-Resolution Residual Network
Zongyu Guo, Zhibo Chen, Tao Yu, Jiale Chen, Sen Liu
Proceedings of the 27th ACM International Conference on Multimedia (ACM MM), 2019
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Region Normalization for Image Inpainting
Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
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Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen
European Conference on Computer Vision (ECCV), 2020
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Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
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PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen
Advances in Neural Information Processing Systems (NeurIPS), 2021
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GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
Simeng Sun*, Tao Yu*, Jiahua Xu, Wei Zhou, Zhibo Chen
IEEE Transactions on Multimedia (TMM), 2022
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SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment
Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022
Champion Solution of the CVPR 2022 Challenge on Learned Image Compression (Percetual Track)
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu*, Zhizheng Zhang*, Cuiling Lan, Yan Lu, Zhibo Chen
Advances in Neural Information Processing Systems (NeurIPS), 2022
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, Zhibo Chen
arXiv preprint, 2023
Local Patch Autoaugment with Multi-Agent Collaboration
Shiqi Lin*, Tao Yu*, Ruoyu Feng, Xin Li, Xiaoyuan Yu, Lei Xiao, Zhibo Chen
IEEE Transactions on Multimedia (TMM), 2023
Task Residual for Tuning Vision-Language Models
Tao Yu*, Zhihe Lu*, Xin Jin, Zhibo Chen, Xinchao Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Rethinking Domain Adaptation and Generalization in the Era of CLIP
Ruoyu Feng, Tao Yu, , Xin Jin, Xiaoyuan Yu, Lei Xiao, Zhibo Chen
International Conference on Image Processing (ICIP), 2024