20 citations · 57 across the 15 of their papers we have counts for
6 papers · 1 filter
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan, Xin Zhou, Hao Tian
Transferring large amount of high resolution images over limited bandwidth is an important but very challenging task. Compressing images using extremely low bitrates (<0.1 bpp) has…
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
Diffusion-based text-to-image generation models like GLIDE and DALLE-2 have gained wide success recently for their superior performance in turning complex text inputs into images o…
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Zhiyuan Ren, Zhihong Pan, Xin Zhou +1
We propose a simple and novel method for generating 3D human motion from complex natural language sentences, which describe different velocity, direction and composition of all kin…
Effective Invertible Arbitrary Image Rescaling
Zhihong Pan, Baopu Li, Dongliang He +2
Great successes have been achieved using deep learning techniques for image super-resolution (SR) with fixed scales. To increase its real world applicability, numerous models have…
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Min Zhang, Zhihong Pan, Xin Zhou +1
Normalizing flow models have been used successfully for generative image super-resolution (SR) by approximating complex distribution of natural images to simple tractable distribut…
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
Zhihong Pan, Baopu Li, Dongliang He +5
Deep learning based single image super-resolution models have been widely studied and superb results are achieved in upscaling low-resolution images with fixed scale factor and dow…