https://wiki.mindmaker.it/index.php?action=history&feed=atom&title=Diffusion_Models_Beat_GANs_on_Image_Synthesis 2026-05-15T01:43:01Z Cronologia della pagina su questo sito MediaWiki 1.41.0 https://wiki.mindmaker.it/index.php?title=Diffusion_Models_Beat_GANs_on_Image_Synthesis&diff=2514&oldid=prev 2024-08-17T10:42:11Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="it"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 10:42, 17 ago 2024</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Riga 1:</td> <td colspan="2" class="diff-lineno">Riga 1:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Titolo</del>: <del style="font-weight: bold; text-decoration: none;">[[Titolo::Diffusion Models Beat GANs on Image Synthesis]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">{{template pubblicazione</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|data=2021</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|autori=Prafulla Dhariwal; Alex Nichol</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|URL=https</ins>:<ins style="font-weight: bold; text-decoration: none;">//www.semanticscholar.org/paper/64ea8f180d0682e6c18d1eb688afdb2027c02794</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|topic=Modelli di Diffusione</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|citazioni=4806</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">}}</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Anno </del>di <del style="font-weight: bold; text-decoration: none;">pubblicazione: [[AnnoDiPubblicazione::2021]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Questo articolo dimostra che i modelli </ins>di <ins style="font-weight: bold; text-decoration: none;">diffusione possono generare immagini di qualità superiore rispetto agli attuali modelli generativi</ins>. <ins style="font-weight: bold; text-decoration: none;">Gli autori raggiungono questo risultato migliorando l'architettura dei </ins>modelli di diffusione e <ins style="font-weight: bold; text-decoration: none;">introducendo la "classifier guidance", un metodo che permette </ins>di <ins style="font-weight: bold; text-decoration: none;">bilanciare la diversità e la fedeltà delle </ins>immagini <ins style="font-weight: bold; text-decoration: none;">generate. I risultati mostrano che i modelli di diffusione superano le GAN </ins>in termini di qualità, varietà e stabilità del training<ins style="font-weight: bold; text-decoration: none;">.</ins></div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Autori: [[Autori::Prafulla Dhariwal]]; [[Autori::Alex Nichol]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">URL: [[URL::https://arxiv</del>.<del style="font-weight: bold; text-decoration: none;">org/pdf/2105.05233.pdf]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Topic: [[Topic::Il confronto tra </del>modelli di diffusione e <del style="font-weight: bold; text-decoration: none;">GANs nella sintesi </del>di immagini <del style="font-weight: bold; text-decoration: none;">rivela superiorità dei primi </del>in termini di qualità, varietà e stabilità del training<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[Category:pubblicazione]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">__SHOWFACTBOX__</del></div></td><td colspan="2" class="diff-side-added"></td></tr> </table>

Mindmakerbot https://wiki.mindmaker.it/index.php?title=Diffusion_Models_Beat_GANs_on_Image_Synthesis&diff=1898&oldid=prev 2024-04-09T13:24:31Z

<p>Creata pagina con &quot;Titolo: <a href="/index.php?title=Titolo::Diffusion_Models_Beat_GANs_on_Image_Synthesis&amp;action=edit&amp;redlink=1" class="new" title="Titolo::Diffusion Models Beat GANs on Image Synthesis (la pagina non esiste)">Titolo::Diffusion Models Beat GANs on Image Synthesis</a> Anno di pubblicazione: <a href="/index.php?title=AnnoDiPubblicazione::2021&amp;action=edit&amp;redlink=1" class="new" title="AnnoDiPubblicazione::2021 (la pagina non esiste)">AnnoDiPubblicazione::2021</a> Autori: <a href="/index.php?title=Autori::Prafulla_Dhariwal&amp;action=edit&amp;redlink=1" class="new" title="Autori::Prafulla Dhariwal (la pagina non esiste)">Autori::Prafulla Dhariwal</a>; <a href="/index.php?title=Autori::Alex_Nichol&amp;action=edit&amp;redlink=1" class="new" title="Autori::Alex Nichol (la pagina non esiste)">Autori::Alex Nichol</a> URL: <a href="/index.php?title=URL::https://arxiv.org/pdf/2105.05233.pdf&amp;action=edit&amp;redlink=1" class="new" title="URL::https://arxiv.org/pdf/2105.05233.pdf (la pagina non esiste)">URL::https://arxiv.org/pdf/2105.05233.pdf</a> Topic: <a href="/index.php?title=Topic::Il_confronto_tra_modelli_di_diffusione_e_GANs_nella_sintesi_di_immagini_rivela_superiorit%C3%A0_dei_primi_in_termini_di_qualit%C3%A0,_variet%C3%A0_e_stabilit%C3%A0_del_training&amp;action=edit&amp;redlink=1" class="new" title="Topic::Il confronto tra modelli di diffusione e GANs nella sintesi di immagini rivela superiorità dei primi in termini di qualità, varietà e stabilità del training (la pagina non esiste)">Topic::Il confronto tra modelli di diffusione e GANs nella sintesi di immagini rivela superiorità dei primi in termini di qualità, varietà e stabilità del training</a> <a href="/index.php/Categoria:Pubblicazione" title="Categoria:Pubblicazione">Category:pubblicazione</a> __SHOWFACTBOX__&quot;</p> <p><b>Nuova pagina</b></p><div>Titolo: [[Titolo::Diffusion Models Beat GANs on Image Synthesis]]<br /> <br /> Anno di pubblicazione: [[AnnoDiPubblicazione::2021]]<br /> <br /> Autori: [[Autori::Prafulla Dhariwal]]; [[Autori::Alex Nichol]]<br /> <br /> URL: [[URL::https://arxiv.org/pdf/2105.05233.pdf]]<br /> <br /> Topic: [[Topic::Il confronto tra modelli di diffusione e GANs nella sintesi di immagini rivela superiorità dei primi in termini di qualità, varietà e stabilità del training]]<br /> <br /> <br /> [[Category:pubblicazione]]<br /> <br /> __SHOWFACTBOX__</div>

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