Active Vision Laboratory (@ActiveVisionLab)
  • Stars
    star
    1,250
  • Global Org. Rank 13,230 (Top 5 %)
  • Registered about 8 years ago
  • Most used languages
    Python
    100.0 %
  • Location πŸ‡¬πŸ‡§ United Kingdom
  • Country Total Rank 1,210
  • Country Ranking
    Python
    130

Top repositories

1

Awesome-LLM-3D

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
949
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2

nerfmm

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
Python
550
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3

nope-nerf

(CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Python
378
star
4

MobileBrick

This repository contains evaluation code for CVPR2023 paper "MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices"
Python
137
star
5

porf

(ICLR 2024) PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction
Python
123
star
6

DFNet

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)
Python
77
star
7

DualRC-Net

Python
56
star
8

DSConv

Python
49
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9

SD4Match

Python
32
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10

ray-onet

Python
29
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11

gaussctrl

[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
Python
27
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12

LearningToCountAnything

This is the official implementation of: Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision Michael Hobley, Victor Prisacariu
Python
26
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13

ANCNet

Correspondence Networks with Adaptive Neighbourhood Consensus
Python
24
star
14

LaLaLoc

Latent Layout Localisation
Python
21
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15

direct-posenet

Direct-PoseNet: Absolute Pose Regression with Photometric Consistency (3DV 2021)
Python
20
star
16

BNInterpolation

Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"
Python
12
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17

NINormal

(BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
Python
10
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18

NUQ

Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes
Python
4
star
19

ApproxConv

Code for the paper "Approximating Continuous Convolutions for Deep Network Compression"
Python
3
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20

Quantization

Python
2
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21

NeFeS

1
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