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Found 5 papers, 1 papers with code
Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models
To address this challenge, we propose a general tooth arrangement neural network based on the diffusion probabilistic model.
SMaRt: Improving GANs with Score Matching Regularity
In this work, we revisit the mathematical foundations of GANs, and theoretically reveal that the native adversarial loss for GAN training is insufficient to fix the problem of subsets with positive Lebesgue measure of the generated data manifold lying out of the real data manifold.
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
By viewing the generation of diffusion models as a discretized integrating process, we argue that the quality drop is partly caused by applying an inaccurate integral direction to a timestep interval.
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks.
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
The most challenging issue for our system is that the source domain of face photos (characterized by normal 2D faces) is significantly different from the target domain of 3D caricatures (characterized by 3D exaggerated face shapes and textures).
