Reconstructing 3D objects from a single image guided by pretrained diffusion models has
demonstrated promising outcomes. However, due to utilizing the case-agnostic rigid …

We present a one-shot method to infer and render a photorealistic 3D representation from a
single unposed image (eg, face portrait) in real-time. Given a single RGB input, our image …

Abstract 3D GAN inversion aims to achieve high reconstruction fidelity and reasonable 3D
geometry simultaneously from a single image input. However, existing 3D GAN inversion …

Recent progress in NeRF-based GANs has introduced a number of approaches for high-
resolution and high-fidelity generative modeling of human heads with a possibility for novel …

Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms
in medical imaging are predominantly diverging from computer vision, where voxel grids …

3D facial avatar reconstruction has been a significant research topic in computer graphics
and computer vision, where photo-realistic rendering and flexible controls over poses and …

We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image.
Existing methods fail to capture intricate details such as hairstyles which we tackle in this …

Existing methods for 3D-aware image synthesis largely depend on the 3D pose distribution
pre-estimated on the training set. An inaccurate estimation may mislead the model into …

This work presents 3DPE, a practical method that can efficiently edit a face image following
given prompts, like reference images or text descriptions, in a 3D-aware manner. To this …

Generating photorealistic 3D faces from given conditions is a challenging task. Existing
methods often rely on time-consuming one-by-one optimization approaches, which are not …