Google DeepMind 参与纪录短片 Love, Rendered 用影像技术重现褪色的记忆

Google Blog:AI(RSS)·2026-09-10 00:00·1小时前·Michael Chang
AI 导读

Google 发布纪录短片 Love, Rendered,讲述结婚超过 70 年的 Burt 和 Ethelle Shatz 应对 Burt 认知衰退的故事,用技术重现未曾被拍摄的记忆,包括两人在克利夫兰学生合作社相遇的那一天。

Google Blog:AI(RSS)
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Google DeepMind 参与纪录短片 Love, Rendered 用影像技术重现褪色的记忆

2026-09-10 00:00· 1小时前· Michael Chang
AI 导读

Google 发布纪录短片 Love, Rendered,讲述结婚超过 70 年的 Burt 和 Ethelle Shatz 应对 Burt 认知衰退的故事,用技术重现未曾被拍摄的记忆,包括两人在克利夫兰学生合作社相遇的那一天。

“Love, Rendered,” a new documentary short, explores memory loss and the power of storytelling — and it showcases how technology can help rekindle memories that have begun to fade. The film follows Burt and Ethelle Shatz, a couple married for over 70 years, as they navigate Burt’s cognitive decline. Among his fading memories is one of their most precious: the day they met at a student co-op in Cleveland. Because it wasn’t photographed or filmed, the day existed only in their minds.

When I stepped in as the film’s technical lead, I knew the project would be as emotionally demanding as it was technically complex. Memory loss is personal to me. My grandfather suffered a stroke and memory loss before he passed. The last time I visited him, I was in my thirties. He was convinced I was still in college and was so happy I was graduating. That bittersweet memory never left me.

The experience made me want to see if this technology could help me connect more deeply with my family through the same medium. When this project began, I asked my father for old family photos. I tested our image restoration on photographs from when my parents met and used our video models to animate them. Watching my parents move as twenty-somethings really drove home how these tools could help keep what matters most from slipping away.

“Love, Rendered” was directed by Academy Award–nominated filmmaker Liz Garbus, who produced it alongside Dan Cogan and Darren Aronofsky. It was created in collaboration between Google DeepMind and Primordial Soup, Aronofsky’s creative venture.

来源:Google Blog:AI(RSS)· blog.google