55 citations · 84 across the 7 of their papers we have counts for
8 papers
One-Step Generative Modeling via Unbalanced Optimal Transport
Yirong Shen, Mengfei Xia, Junpeng Jing +2
Drifting models enable one-step generation by amortizing distribution transport into training, but this efficiency places greater demands on the transport field estimated at each u…
A Diffusion Model Translator for Efficient Image-to-Image Translation
Mengfei Xia, Yu Zhou, Ran Yi +2
Applying diffusion models to image-to-image translation (I2I) has recently received increasing attention due to its practical applications. Previous attempts inject information fro…
Rectified Diffusion Guidance for Conditional Generation
Mengfei Xia, Nan Xue, Yujun Shen +3
Classifier-Free Guidance (CFG), which combines the conditional and unconditional score functions with two coefficients summing to one, serves as a practical technique for diffusion…
Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models
Changsong Lei, Mengfei Xia, Shaofeng Wang +4
Tooth arrangement is a crucial step in orthodontics treatment, in which aligning teeth could improve overall well-being, enhance facial aesthetics, and boost self-confidence. To im…
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang +3
Generative adversarial networks (GANs) usually struggle in learning from highly diverse data, whose underlying manifold is complex. In this work, we revisit the mathematical founda…
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
Mengfei Xia, Yujun Shen, Changsong Lei +5
A diffusion model, which is formulated to produce an image using thousands of denoising steps, usually suffers from a slow inference speed. Existing acceleration algorithms simplif…
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
Zipeng Ye, Mengfei Xia, Ran Yi +5
In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks. Using a fully convolutional network with the proposed DCKs, high-quality ta…
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
Zipeng Ye, Mengfei Xia, Yanan Sun +5
Caricature is a type of artistic style of human faces that attracts considerable attention in the entertainment industry. So far a few 3D caricature generation methods exist and al…