🎵 “Mark’s All Male Thanksgiving” from “Elegies” 🎵 William Finn’s “Elegies” is a song cycle composed in the aftermath of September 11, 2001. These autobiographical songs memorialize the lives of many of his friends and family members, shedding light on their life stories with optimism, humor, and pathos.
His song “Mark’s All Male Thanksgiving” is a loving tribute to Finn’s quirky, warm memories of attending Thanksgiving gatherings with his community of gay friends. We hear about the foods they shared, as well as descriptions of many of the unique and talented people who attended each year.
Many of these men died of AIDS, their young lives cut too short.
During our commemoration of World AIDS Day at CBST, we share this song whose text appears in our siddur, to recall an entire generation lost to this horrible disease. May we see an end to the suffering caused by HIV/AIDS speedily in our days.
🎵: “Mark’s All Male Thanksgiving” from “Elegies” by William Finn
🗣: CBST’s Cantor Sam Rosen
🎹: CBST Music Director Joyce Rosenzweig
For more wonderful settings, be in community with CBST at Kabbalat Shabbat services, Fridays at 6:30 p.m. ET, livestreaming on CBST’s website at cbst.org/livestream. All are welcome 🌈✨
Photorealistic digital re-aging of faces in video is becoming increasingly common in entertainment and advertising. But the predominant 2D painting workflow often requires frame-by-frame manual work that can take days to accomplish, even by skilled artists. Although research on facial image re-aging has attempted to automate and solve this problem, current techniques are of little practical use as they typically suffer from facial identity loss, poor resolution, and unstable results across subsequent video frames. In this paper, we present the first practical, fully-automatic and production-ready method for re-aging faces in video images. Our first key insight is in addressing the problem of collecting longitudinal training data for learning to re-age faces over extended periods of time, a task that is nearly impossible to accomplish for a large number of real people. We show how such a longitudinal dataset can be constructed by leveraging the current state-of-the-art in facial re-aging that, although failing on real images, does provide photoreal re-aging results on synthetic faces. Our second key insight is then to leverage such synthetic data and formulate facial re-aging as a practical image-to-image translation task that can be performed by training a well-understood U-Net architecture, without the need for more complex network designs. We demonstrate how the simple U-Net, surprisingly, allows us to advance the state of the art for re-aging real faces on video, with unprecedented temporal stability and preservation of facial identity across variable expressions, viewpoints, and lighting conditions. Finally, our new face re-aging network (FRAN) incorporates simple and intuitive mechanisms that provides artists with localized control and creative freedom to direct and fine-tune the re-aging effect, a feature that is largely important in real production pipelines and often overlooked in related research work.
I recently completed a 45-page paper for my first semester as a History PhD student. In this paper, I looked at how abolitionists addressed the issue of residential segregation and what the long term impact of their efforts were in this area after the abolitionists themselves were dead. As part of my analysis, I examined a 1966 vote in the U.S. House of Representatives on whether to remove a fair housing policy from a proposed civil rights bill. I determined that there was a strong correlation between how much of an abolitionist tradition states had in the 1800s and how states’/regions’ Representatives voted on fair housing in the 1960s. For this blog post, I decided to summarize my findings on this and look at two similar correlations related to gay marriage: is there a correlation between how early a state legalized interracial marriage and whether its Senators and Representatives voted…
Thanks to Bones And All for sponsoring a portion of this video. Check out Bones and All, the new film only in theaters this Thanksgiving. Get tickets now at http://bit.ly/3hAY2HX. #BonesAndAll
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Wren explains Neural Radiance Fields (a.k.a. NeRFs) and why this brand new, next-generation 3D scanning technology is going to be the next big thing in image capture/CGI.
Travel to Isle de Jean Charles, an island in Terrebonne Parish that once encompassed more than 22,000 acres and for centuries was home to hundreds of Native American French-speaking families. Today, only 320 acres and 4 families remain, and it is the site of a first-of-its kind resettlement effort. The La Veillée team revisits the rationale behind the decisions leading to this relocation and investigates what the future of the island will be in the aftermath of resettlement.
There’s just about nothing better than watching a kitty play with a ball of yarn, but there’s another unexpected animal that enjoys playtime, too! And certain birds appear to have the abilities of self-control!
Hosted by: Hank Green (he/him)
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SCiFi Foods is leading the cell based meat space backed by investors including Coldplay. Watch the video to learn how you can chump down on this new food product.