Blender Tutorials
8 FollowersLearn Blender on the go
A fun blend of breathtaking facts
10 FollowersWelcome to Thrill & Chill – your ultimate destination for mind-blowing facts, extreme wonders, and nature’s deadliest creatures! From the world’s tallest buildings to the most venomous snakes, we bring you thrilling discoveries and fascinating insights. Subscribe for a mix of adrenaline and awe!
UniverseBlendTV
5 FollowersWelcome to UniverseBlendTV! 🌟 Embrace the endless variety of content we offer, from hilarious humor to insightful seriousness, and from mind-expanding education to captivating entertainment. Join us as we navigate through a universe of diverse videos that cater to every mood and interest. Get ready to immerse yourself in a seamless blend of fun, learning, and enjoyment. Step into a world where every click brings a new adventure in content diversity!
The Joy of Blending
5 FollowersThis channel is for all things related to the free and open source 3D software Blender. I post completed personal projects such as animations and visual effects as well as tutorials and general commentary about Blender and the VFX/3D industry.
bleef
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1 Followerfor tutorials on learning Blender (open source 3d software).
8 Followersfollow for tutorials on learning Blender (open source 3d software).
blendiculous
2 FollowersWhistory: Where Whiskey and History Blend
5 FollowersWhiskey reviews with a bit of history thrown in for good measure
Your Team of Gurus Blending Business Creativity + Science
5 FollowersWE ARE A CREATIVE COLLECTIVE (marrying creativity with science!) Gu is short for gurus. A guru means an influential teacher!
Welcome to FoxNews20 channel that is known for its diverse programming, including original series, movies, and syndicated content. It often features a blend of drama, comedy,The channel also airs films, live sports events
12 FollowersUSA Network, commonly referred to as USA, is an American cable and satellite television channel that is known for its diverse programming, including original series, movies, and syndicated content. It often features a blend of drama, comedy, and reality shows, and has produced popular series like Suits, Burn Notice, and Mr. Robot. The channel also airs films, live sports events, and popular reruns of classic TV shows. USA Network is recognized for its slogan "Characters Welcome," emphasizing strong, character-driven storytelling.
Bluedamselfly
1 FollowerYour go-to place for Bengali cinema lovers! We blend iconic movie scenes with creative twists to deliver unforgettable experiences.
5 FollowersWelcome to CRAZY DAREDEVILS – Your go-to place for Bengali cinema lovers! We blend iconic movie scenes with creative twists to deliver unforgettable experiences. What We Offer: 🎬 Remakes of Classic Bengali Scenes: Relive the magic of your favorite films with a fresh, exciting take. 🎥 Original Short Films: Dive into thrilling mysteries, suspenseful adventures, and chilling horror stories crafted by our team. Why CRAZY DAREDEVILS? ✨ Nostalgia Meets Creativity: From recreating timeless moments to creating new stories, we deliver both familiarity and innovation. 🎭 Content for Every Mood: Whether it’s drama, suspense, or horror, we offer diverse content that keeps you hooked. 🌟 Passion for Cinema: Every video reflects our deep love for Bengali films. Join the CRAZY DAREDEVILS journey! 👉 Subscribe and hit the bell icon to never miss out on our exciting content. Let’s keep the magic of Bengali films alive! 📧 For business inquiries, email us at crazydaredevilsbiz@gmail.com
bluedog11
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1 FollowerBluediamond777
1 FollowerBluedog
1 Follower'm proficient 3d displaying craftsman. I make my recordings with 3d and / Blender programming / Cinema 4D / Adobe premiere pro / Adobe photoshop / Adobe illustrator / Adobe after effects
5 Followers'm proficient 3d displaying craftsman. I make my recordings with 3d and / Blender programming / Cinema 4D / Adobe premiere pro / Adobe photoshop / Adobe illustrator / Adobe after effects
DavidBleaden
1 FollowerEricBloedorn
1 FollowerUsers can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.
9 FollowersWe’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn. Fifteen years ago, Quiroga et al.1 discovered that the human brain possesses multimodal neurons. These neurons respond to clusters of abstract concepts centered around a common high-level theme, rather than any specific visual feature. The most famous of these was the “Halle Berry” neuron, a neuron featured in both Scientific American(opens in a new window) and The New York Times(opens in a new window), that responds to photographs, sketches, and the text “Halle Berry” (but not other names). Two months ago, OpenAI announced CLIP, a general-purpose vision system that matches the performance of a ResNet-50,2 but outperforms existing vision systems on some of the most challenging datasets. Each of these challenge datasets, ObjectNet, ImageNet Rendition, and ImageNet Sketch, stress tests the model’s robustness to not recognizing not just simple distortions or changes in lighting or pose, but also to complete abstraction and reconstruction—sketches, cartoons, and even statues of the objects. Now, we’re releasing our discovery of the presence of multimodal neurons in CLIP. One such neuron, for example, is a “Spider-Man” neuron (bearing a remarkable resemblance to the “Halle Berry” neuron) that responds to an image of a spider, an image of the text “spider,” and the comic book character “Spider-Man” either in costume or illustrated. Our discovery of multimodal neurons in CLIP gives us a clue as to what may be a common mechanism of both synthetic and natural vision systems—abstraction. We discover that the highest layers of CLIP organize images as a loose semantic collection of ideas, providing a simple explanation for both the model’s versatility and the representation’s compactness.