id
processing priority
3
site type
5 (wiki-type site, growing by topic rather than chronologically)
review version
11
html import
20 (imported)
first seen date
2024-09-21 15:55:36
expired found date
-
created at
2024-09-21 15:55:34
updated at
2024-09-24 20:45:10
length
16
crc
5808
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
10336
mp size raw text
2969
mp inner links count
1
mp inner links status
10 (links queued, awaiting import)
title
DOVE: Learning Deformable 3D Objects by Watching Videos.
description
We propose a method for learning deformable 3D birds from videos, without keypoint, viewpoint or template shape supervision.
site name
author
updated
2026-03-04 03:17:38
raw text
🕊 DOVE: Learning Deformable 3D Objects by Watching Videos 🕊 DOVE: Learning Deformable 3D Objects by Watching Videos IJCV 2023 Shangzhe Wu * Tomas Jakab * Christian Rupprecht Andrea Vedaldi Visual Geometry Group, University of Oxford ( * equal contribution ) [Paper] [Video] [Code] DOVE - D eformable O bjects from V id E os. Given a collection of video clips of an object category as training data, we learn a model that predicts a textured, articulated 3D mesh from a single image of the object. Interactive Demo Full screen version. Click "Open Controls" to switch examples and adjust settings. Video Abstract Learning deformable 3D objects from 2D images is an extremely ill-posed problem. Existing methods rely on explicit supervision to establish multi-view correspondences, such as template shape models and keypoint annotations, which restricts their applicability on objects "in the wild". In this paper, we propos...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
Nauka (119)
index version
1
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
2278
text words
409
text unique words
205
text lines
57
text sentences
18
text paragraphs
5
text words per sentence
22
text matched phrases
0
text matched dictionaries
0
links self subdomains
0
links other subdomains
2 - robots.ox.ac.uk
links other domains
1 - elliottwu.com
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
3
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
6 - youtu.be
links ext klim
0
links ext generic
0
dol status
0
dol updated
2026-03-04 03:17:38
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
1 (priority 1 already searched, no matches found)
sitemap review version
2
sitemap urls count
0
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
-
sitemap process date
-
sitemap first import date
-
sitemap last import date
-