Synthesizing realistic videos according to a given speech is still an op...
Reconstructing 3D objects from extremely sparse views is a long-standing...
Recently, text-to-image generation has exhibited remarkable advancements...
Omnidirectional images (ODIs) have become increasingly popular, as their...
The demand for efficient 3D model generation techniques has grown
expone...
3D facial avatar reconstruction has been a significant research topic in...
Given sparse views of an object, estimating their camera poses is a
long...
This paper introduces DreamDiffusion, a novel method for generating
high...
Enhancing AI systems to perform tasks following human instructions can
s...
We study to generate novel views of indoor scenes given sparse input vie...
Learning and selecting important points on a point cloud is crucial for ...
We introduce HOSNeRF, a novel 360 free-viewpoint rendering method that
r...
Online reconstructing and rendering of large-scale indoor scenes is a
lo...
We present DreamAvatar, a text-and-shape guided framework for generating...
Depth estimation from a monocular 360 image is a burgeoning problem
owin...
Recent CLIP-guided 3D optimization methods, e.g., DreamFields and
PureCL...
High-fidelity 3D scene reconstruction from monocular videos continues to...
Modeling dynamic scenes is important for many applications such as virtu...
Point cloud completion concerns to predict missing part for incomplete 3...
Most existing point cloud completion methods suffered from discrete natu...
Point cloud completion aims to predict a complete shape in high accuracy...
In this paper, we present a novel unpaired point cloud completion networ...
The task of point cloud completion aims to predict the missing part for ...