12 datasets found

The dataset used in the paper is a LiDAR point cloud dataset, which is a sparse 3D point cloud acquired by LiDAR sensors.

Geometric distortion metrics for point cloud compression.

The FUNQUE+ suite of models were designed for the quality assessment of compressed SDR videos.

The LIVE-HDR database is a subjectively annotated database of 310 compressed 4K HDR videos.

A video quality assessment dataset based on JND measurement, containing 1509 videos.

This paper investigates whether a VLP can be compressed and debiased simultaneously by searching sparse and robust subnetworks.

The UVG dataset comprises 16 video sequences of 3840×2160, recorded at 120 frames per second.

The dataset is a collection of 256x256 pixel images.

The proposed StableVSR is built upon a pre-trained Latent Diffusion Model (LDM) for single image super-resolution (SISR). We use Stable Diffusion ×4 Upscaler (SD×4Upscaler)2. It...

The proposed system is composed of three neural networks (NN): an auto-regressive module (ARM) fψ, an upsampler fυ and a synthesis fθ.

The dataset used in the paper is a network of distributed agents that solve a regression problem. The agents employ the ACTC diffusion strategy, which involves adaptive...

The authors propose a novel Factorized 3D Gaussian Splatting (F-3DGS) method to reduce the storage requirements while maintaining image quality compared to 3DGS.