Image to 3D
26 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Image to 3D
Most implemented papers
Collaborative Neural Rendering using Anime Character Sheets
Drawing images of characters with desired poses is an essential but laborious task in anime production.
Let's Transfer Transformations of Shared Semantic Representations
In this work we show how one can learn transformations with no training examples by learning them on another domain and then transfer to the target domain.
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image.
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
WU-CVGL/MVControl-threestudio
•
•
Building upon our MVControl architecture, we employ a unique hybrid diffusion guidance method to direct the optimization process.
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
ssfootball04/generative_pose
•
•
ICCV 2019
Monocular 3D human-pose estimation from static images is a challenging problem, due to the curse of dimensionality and the ill-posed nature of lifting 2D-to-3D.
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
zhaofang0627/HPBTT
•
•
NeurIPS 2020
This paper proposes a human parsing based texture transfer model via cross-view consistency learning to generate the texture of 3D human body from a single image.
Local Aggressive Adversarial Attacks on 3D Point Cloud
Chenfeng1271/L3A
•
•
However, the perturbations of global point are not effective for misleading the victim model.
ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation
suyz526/zebrapose
•
•
CVPR 2022
Dense methods also improved pose estimation in the presence of occlusion.
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
In this work, we study the challenging task of lifting a single image to a 3D object and, for the first time, demonstrate the ability to generate a plausible 3D object with 360{\deg} views that correspond well with the given reference image.
