Search Results for author: Bingchen Li

Found 7 papers, 5 papers with code

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

no code implementations10 Mar 2024 Hanxin Zhu, Tianyu He, Xin Li, Bingchen Li, Zhibo Chen

Neural Radiance Field (NeRF) has achieved superior performance for novel view synthesis by modeling the scene with a Multi-Layer Perception (MLP) and a volume rendering procedure, however, when fewer known views are given (i. e., few-shot view synthesis), the model is prone to overfit the given views.

Novel View Synthesis

SeD: Semantic-Aware Discriminator for Image Super-Resolution

1 code implementation29 Feb 2024 Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen

In particular, one discriminator is utilized to enable the SR network to learn the distribution of real-world high-quality images in an adversarial training manner.

Image Super-Resolution

Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective

2 code implementations CVPR 2023 Xin Li, Bingchen Li, Xin Jin, Cuiling Lan, Zhibo Chen

In this paper, we are the first to propose a novel training strategy for image restoration from the causality perspective, to improve the generalization ability of DNNs for unknown degradations.

counterfactual Image Restoration +2

HST: Hierarchical Swin Transformer for Compressed Image Super-resolution

3 code implementations21 Aug 2022 Bingchen Li, Xin Li, Yiting Lu, Sen Liu, Ruoyu Feng, Zhibo Chen

Compressed Image Super-resolution has achieved great attention in recent years, where images are degraded with compression artifacts and low-resolution artifacts.

Compressed Image Super-resolution Image Super-Resolution

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