8 citations · 10 across the 4 of their papers we have counts for
4 papers
HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation
Xiufeng Xie, Riccardo Gherardi, Zhihong Pan +1
Neural radiance fields (NeRF) have garnered significant attention, with recent works such as Instant-NGP accelerating NeRF training and evaluation through a combination of hashgrid…
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Yansong Gao, Zhihong Pan, Xin Zhou +2
Denoising diffusion probabilistic models (DDPMs) are a class of powerful generative models. The past few years have witnessed the great success of DDPMs in generating high-fidelity…
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Chenzhong Yin, Zhihong Pan, Xin Zhou +2
Normalizing flow models using invertible neural networks (INN) have been widely investigated for successful generative image super-resolution (SR) by learning the transformation be…
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…