Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileAcademic lineage
Possible advisorsa guess from early papers, not confirmed
- Suggested from co-authorship
Is this you? Claim this profile to confirm or dismiss it.
Works22 from public data
- Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data2,160
This work extends the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data and employs a U-Net discriminator with spectral normalization to increase discriminator capability and stabilize the training dynamics.
- 909
- VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution216
An automatic and scalable pipeline to collect a high-quality video face dataset (VFHQ), which contains over 16, 000 high-fidelity clips of diverse interview scenarios, and shows that the temporal information plays a pivotal role in eliminating video consistency issues as well as further improving visual performance.
- SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models213
A Bidirectional Interaction Module (BIM) is proposed that enables comprehensive bidirectional information interactions between the input image and the MLLM output and demonstrates that a small amount of complex instruction editing data can effectively stimulate SmartEdit’ s editing capabilities for more complex instructions.
- 137
- Enhanced Quadratic Video Interpolation100
This work improves the performance of QVI from three facets and proposes an enhanced quadratic video interpolation (EQVI) model that won the first place in the AIM2020 Video Temporal Super-Resolution Challenge and devise a novel multi-scale fusion network (MS-Fusion) which can be regarded as a learnable augmentation process.
- DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models67
Equipped with the DeSRA, the cause and characteristics of the GAN artifacts produced in unseen test data without ground-truths are analyzed and artifacts from inference are eliminated and the ability of SR models to be applied in real-world scenarios is improved.
- StyleAdapter: A Unified Stylized Image Generation Model52
The StyleAdapter is proposed, a unified stylized image generation model capable of producing a variety of stylized images that match both the content of a given prompt and the style of reference images, without the need for per-style fine-tuning.
- NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results41
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video and proposed the LDV 2.0 dataset, which includes theLDV dataset (240 videos) and 95 additional videos.
- Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module38
An end-to-end convolutional neural network is presented to solve the problem of detecting if workers are wearing hardhats on construction sites and could produce an average precision of 87.4% at 62 frames per second for detecting people without/with a hardhat worn on the head.
- 25
- AIM 2020 Challenge on Video Temporal Super-Resolution22
This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis, and proposes the enhanced quadratic video interpolation method.
- 18
- Image Conductor: Precision Control for Interactive Video Synthesis11
Image Conductor, a method for precise control of camera transitions and object movements to generate video assets from a single image, is proposed, and a trajectory-oriented video motion data curation pipeline for training is developed.
- 7
- SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution5
This work establishes a simple yet effective baseline for cascaded video super-resolution generation, offering practical insights to guide future advancements in efficient cascaded synthesis systems.
- 2
- 2
- 2
- 1
- Physiological Effects of Co-exposure to Ionizing Radiation and Noise within Occupational Exposure Limits1
It is suggested that co-exposure to low-dose ionizing radiation and noise can cause alterations in thyroid hormone and peripheral white blood cells that are different from those observed after single exposure to high-dose Ionizing radiation.
- Study on molecular mechanism of Jiufen powder in the treatment of rheumatoid arthritis based on network pharmacology and molecular docking–
Through multi-target and multi-pathway analysis, the potential mechanism of Jiufen Powder in treating rheumatoid arthritis was preliminarily explored, which provided scientific basis for the clinical application and in-depth study of the Chinese medicine.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.