NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Run, don't walk: chasing higher FLOPS for faster neural networks
To design fast neural networks, many works have been focusing on reducing the number of
floating-point operations (FLOPs). We observe that such reduction in FLOPs, however, does …
floating-point operations (FLOPs). We observe that such reduction in FLOPs, however, does …
Machine learning in solar physics
The application of machine learning in solar physics has the potential to greatly enhance our
understanding of the complex processes that take place in the atmosphere of the Sun. By …
understanding of the complex processes that take place in the atmosphere of the Sun. By …
Towards language-driven video inpainting via multimodal large language models
We introduce a new task--language-driven video inpainting which uses natural language
instructions to guide the inpainting process. This approach overcomes the limitations of …
instructions to guide the inpainting process. This approach overcomes the limitations of …
Diverse inpainting and editing with gan inversion
Recent inversion methods have shown that real images can be inverted into StyleGAN's
latent space and numerous edits can be achieved on those images thanks to the …
latent space and numerous edits can be achieved on those images thanks to the …
Styleres: Transforming the residuals for real image editing with stylegan
We present a novel image inversion framework and a training pipeline to achieve high-
fidelity image inversion with high-quality attribute editing. Inverting real images into …
fidelity image inversion with high-quality attribute editing. Inverting real images into …
Inst-inpaint: Instructing to remove objects with diffusion models
Image inpainting task refers to erasing unwanted pixels from images and filling them in a
semantically consistent and realistic way. Traditionally, the pixels that are wished to be …
semantically consistent and realistic way. Traditionally, the pixels that are wished to be …
Image-to-image translation with disentangled latent vectors for face editing
We propose an image-to-image translation framework for facial attribute editing with
disentangled interpretable latent directions. Facial attribute editing task faces the challenges …
disentangled interpretable latent directions. Facial attribute editing task faces the challenges …
360-degree panorama generation from few unregistered nfov images
360$^\circ $ panoramas are extensively utilized as environmental light sources in computer
graphics. However, capturing a 360$^\circ $$\times $180$^\circ $ panorama poses …
graphics. However, capturing a 360$^\circ $$\times $180$^\circ $ panorama poses …
Machine learning in solar physics
The application of machine learning in solar physics has the potential to greatly enhance our
understanding of the complex processes that take place in the atmosphere of the Sun. By …
understanding of the complex processes that take place in the atmosphere of the Sun. By …