Modern data-driven image generation models often surpass traditional graphics techniques
in quality. However, while traditional modeling and animation tools allow precise control …

While 3D-based GAN techniques have been successfully applied to render photo-realistic
3D images with a variety of attributes while preserving view consistency, there has been little …

Generating 3D scenes is a challenging open problem, which requires synthesizing plausible
content that is fully consistent in 3D space. While recent methods such as neural radiance …

Access to high-quality and diverse 3D articulated digital human assets is crucial in various
applications, ranging from virtual reality to social platforms. Generative approaches, such as …

Our paper seeks to transfer the hairstyle of a reference image to an input photo for virtual
hair try-on. We target a variety of challenges scenarios, such as transforming a long hairstyle …

Recent advances in generative models trained on large-scale datasets have made it
possible to synthesize high-quality samples across various domains. Moreover the …

Recent work on 3D-aware image synthesis has achieved compelling results using advances
in neural rendering. However, 3D-aware synthesis of face dynamics hasn't received much …

We present a method to efficiently generate 3D-aware high-resolution images that are view-
consistent across multiple target views. The proposed multiplane neural radiance model …

Abstract Recent work in Neural Fields (NFs) learn 3D representations from class-specific
single view image collections. However, they are unable to reconstruct the input data …

Digital immersion via virtual reality (VR) has promising applications in entertainment,
education, and business. However, VR transmissions over wireless are data-intensive and …