Make-It-3D VS NeuralRecon

Compare Make-It-3D vs NeuralRecon and see what are their differences.

Make-It-3D

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior (by junshutang)

NeuralRecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral (by zju3dv)
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Make-It-3D NeuralRecon
1 2
1,693 1,935
- 1.5%
6.9 0.0
7 months ago 7 months ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Make-It-3D

Posts with mentions or reviews of Make-It-3D. We have used some of these posts to build our list of alternatives and similar projects.

NeuralRecon

Posts with mentions or reviews of NeuralRecon. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Make-It-3D and NeuralRecon you can also consider the following projects:

DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

SegmentAnythingin3D - Segment Anything in 3D with NeRFs (NeurIPS 2023)

unsupervisedRR - [CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

AvatarPoser - Official Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"

AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

sjc - Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)

MotionDiffuse - MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model