State of the art on diffusion models for visual computing
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
Generative ai meets 3d: A survey on text-to-3d in aigc era
Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …
generation being the most practical as it facilitates interaction between human instructions …
Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse
The metaverse has emerged as an exciting new paradigm for human-computer interaction
(HCI) and virtual collaboration. This paper presents a comprehensive review of the …
(HCI) and virtual collaboration. This paper presents a comprehensive review of the …
Dual memory networks: A versatile adaptation approach for vision-language models
With the emergence of pre-trained vision-language models like CLIP how to adapt them to
various downstream classification tasks has garnered significant attention in recent …
various downstream classification tasks has garnered significant attention in recent …
Vpp: Efficient conditional 3d generation via voxel-point progressive representation
Conditional 3D generation is undergoing a significant advancement, enabling the free
creation of 3D content from inputs such as text or 2D images. However, previous …
creation of 3D content from inputs such as text or 2D images. However, previous …
Anyhome: Open-vocabulary generation of structured and textured 3d homes
Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …
into well-structured and textured indoor scenes at a house-scale. By prompting Large …
Advances in 3d generation: A survey
Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …
decades of research. With the emergence of advanced neural representations and …
A survey on generative modeling with limited data, few shots, and zero shot
In machine learning, generative modeling aims to learn to generate new data statistically
similar to the training data distribution. In this paper, we survey learning generative models …
similar to the training data distribution. In this paper, we survey learning generative models …
Texgen: Text-guided 3d texture generation with multi-view sampling and resampling
Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual
descriptions. Current methods for generating and assembling textures from sampled views …
descriptions. Current methods for generating and assembling textures from sampled views …
Masked audio generation using a single non-autoregressive transformer
We introduce MAGNeT, a masked generative sequence modeling method that operates
directly over several streams of audio tokens. Unlike prior work, MAGNeT is comprised of a …
directly over several streams of audio tokens. Unlike prior work, MAGNeT is comprised of a …