Main

processing priority

3

site type

5 (wiki-type site, growing by topic rather than chronologically)

review version

11

html import

20 (imported)

Events

first seen date

2024-10-07 04:34:34

expired found date

-

created at

2024-10-07 04:34:33

updated at

2024-10-07 04:34:34

Domain name statistics

length

25

crc

28036

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

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)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

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

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

6215

mp size raw text

1570

mp inner links count

1

mp inner links status

10 (links queued, awaiting import)

Open Graph

title

description

image

site name

author

chen

updated

2026-02-26 01:59:18

raw text

Dynamic View Synthesis from Dynamic Monocular Video Home Abstract BibTex ☰ Dynamic View Synthesis from Dynamic Monocular Video Chen Gao 1      Ayush Saraf 2      Johannes Kopf 2      Jia-Bin Huang 1 1 Virginia Tech   2 Facebook Overview Video Please watch the video here if Youtube doesn't work for you. Abstract We present an algorithm for generating novel views at arbitrary viewpoints and any input time step given a monocular video of a dynamic scene. Our work builds upon recent advances in neural implicit representation and uses continuous and differentiable functions for modeling the time-varying structure and the appearance of the scene. We jointly train a time-invariant static NeRF and a time-varying dynamic NeRF, and learn how to blend the results in an unsupervised manner. However, learning this implicit function from a single video is highly ill-posed (with infinitely many solutions that match the input video). To resolve the ambiguit...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Pozostałe (16)

index version

1

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

1194

text words

215

text unique words

130

text lines

34

text sentences

8

text paragraphs

2

text words per sentence

26

text matched phrases

0

text matched dictionaries

0

RSS

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

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

-