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20232026
most citedLAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation

10 citations · 11 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation

Shuhao Han, Haotian Fan, Jiachen Fu +8

Recently, Text-to-Image (T2I) generation models have achieved significant advancements. Correspondingly, many automated metrics have emerged to evaluate the image-text alignment ca…

cs.CV2024

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts

Zheng-Peng Duan, Jiawei zhang, Zheng Lin +4

Image retouching aims to enhance the visual quality of photos. Considering the different aesthetic preferences of users, the target of retouching is subjective. However, current re…

cs.CV2024

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results

Xin Jin, Chunle Guo, Xiaoming Li +39

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…

cs.CV2024★ 1 cited

Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

Xin Jin, Pengyi Jiao, Zheng-Peng Duan +4

Volumetric rendering based methods, like NeRF, excel in HDR view synthesis from RAWimages, especially for nighttime scenes. While, they suffer from long training times and cannot p…

cs.CV2024

The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation

Xinni Jiang, Zengsheng Kuang, Chunle Guo +4

Guided depth super-resolution (GDSR) involves restoring missing depth details using the high-resolution RGB image of the same scene. Previous approaches have struggled with the het…