4 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
Fan Lu, Wei Wu, Kecheng Zheng +7
Generating detailed captions comprehending text-rich visual content in images has received growing attention for Large Vision-Language Models (LVLMs). However, few studies have dev…
Improved Video VAE for Latent Video Diffusion Model
Pingyu Wu, Kai Zhu, Yu Liu +4
Variational Autoencoder (VAE) aims to compress pixel data into low-dimensional latent space, playing an important role in OpenAI's Sora and other latent video diffusion generation…
ViViD: Video Virtual Try-on using Diffusion Models
Zixun Fang, Wei Zhai, Aimin Su +7
Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise m…
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
Zhiheng Liu, Hao Ouyang, Qiuyu Wang +7
3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which…