The field of neural rendering has witnessed significant progress with advancements in
generative models and differentiable rendering techniques. Though 2D diffusion has …

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations, such …

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 …

Real-world applications often require a large gallery of 3D assets that share a consistent
theme. While remarkable advances have been made in general 3D content creation from …

In 3D modeling, designers often use an existing 3D model as a reference to create new
ones. This practice has inspired the development of Phidias, a novel generative model that …

Recent advancements in diffusion models have led to significant improvements in the
generation and animation of 4D full-body human-object interactions (HOI). Nevertheless …

Autoregressive models have demonstrated remarkable success across various fields, from
large language models (LLMs) to large multimodal models (LMMs) and 2D content …

3D Gaussian Splatting (GS) have achieved considerable improvement over Neural
Radiance Fields in terms of 3D fitting fidelity and rendering speed. However, this …

We present a novel framework for generating photorealistic 3D human head and
subsequently manipulating and reposing them with remarkable flexibility. The proposed …

We present Material Anything, a fully-automated, unified diffusion framework designed to
generate physically-based materials for 3D objects. Unlike existing methods that rely on …