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Found 7 papers, 5 papers with code
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
3D Gaussians have recently emerged as an efficient representation for novel view synthesis.
Learning Naturally Aggregated Appearance for Efficient 3D Editing
Neural radiance fields, which represent a 3D scene as a color field and a density field, have demonstrated great progress in novel view synthesis yet are unfavorable for editing due to the implicitness.
Real-time 6K Image Rescaling with Rate-distortion Optimization
Then, an efficient frequency-aware decoder reconstructs a high-fidelity HR image from the LR one in real time.
Optimizing Image Compression via Joint Learning with Denoising
The key is to transform the original noisy images to noise-free bits by eliminating the undesired noise during compression, where the bits are later decompressed as clean images.
IICNet: A Generic Framework for Reversible Image Conversion
Reversible image conversion (RIC) aims to build a reversible transformation between specific visual content (e. g., short videos) and an embedding image, where the original content can be restored from the embedding when necessary.
Enhanced Invertible Encoding for Learned Image Compression
Although deep learning based image compression methods have achieved promising progress these days, the performance of these methods still cannot match the latest compression standard Versatile Video Coding (VVC).
Fully Convolutional Networks for Continuous Sign Language Recognition
Continuous sign language recognition (SLR) is a challenging task that requires learning on both spatial and temporal dimensions of signing frame sequences.
