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20212026
most citedCollapse by Conditioning: Training Class-conditional GANs with Limited Data

16 citations · 23 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

Evangelos Ntavelis, Sean Wu, Mohamad Shahbazi +21

We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method employs an efficient encoder-d…

cs.CV2024

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi +2

Despite extensive research on training generative adversarial networks (GANs) with limited training data, learning to generate images from long-tailed training distributions remain…

cs.CV2024★ 4 cited

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer +4

We introduce InseRF, a novel method for generative object insertion in the NeRF reconstructions of 3D scenes. Based on a user-provided textual description and a 2D bounding box in…

cs.CV2023

StyleGenes: Discrete and Efficient Latent Distributions for GANs

Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis +3

We propose a discrete latent distribution for Generative Adversarial Networks (GANs). Instead of drawing latent vectors from a continuous prior, we sample from a finite set of lear…

cs.CV2023

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions

Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni +4

Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors. Rec…

cs.CV2022★ 1 cited

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models

Shengqu Cai, Eric Ryan Chan, Songyou Peng +4

Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task. For each predicted frame, a joint inpainting and 3D…