Text-guided diffusion models have revolutionized image and video generation and have
also been successfully used for optimization-based 3D object synthesis. Here we instead …

In recent times the generation of 3D assets from text prompts has shown impressive results.
Both 2D and 3D diffusion models can help generate decent 3D objects based on prompts …

Abstract 3D editing plays a crucial role in many areas such as gaming and virtual reality.
Traditional 3D editing methods which rely on representations like meshes and point clouds …

Recent years have witnessed remarkable advances in artificial intelligence generated
content (AIGC), with diverse input modalities, eg, text, image, video, audio and 3D. The 3D is …

3D content creation has achieved significant progress in terms of both quality and speed.
Although current feed-forward models can produce 3D objects in seconds, their resolution is …

Score distillation sampling (SDS) and its variants have greatly boosted the development of
text-to-3D generation but are vulnerable to geometry collapse and poor textures yet. To …

Recent advances in generative AI have unveiled significant potential for the creation of 3D
content. However current methods either apply a pre-trained 2D diffusion model with the …

We introduce EscherNet a multi-view conditioned diffusion model for view synthesis.
EscherNet learns implicit and generative 3D representations coupled with a specialised …

Lifting 2D diffusion for 3D generation is a challenging problem due to the lack of geometric
prior and the complex entanglement of materials and lighting in natural images. Existing …

Abstract 3D generation has raised great attention in recent years. With the success of text-to-
image diffusion models the 2D-lifting technique becomes a promising route to controllable …