Join us this week for an in-depth discussion on Compositional Learning in the context of cutting-edge text-to-image generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle compositional tasks and where improvements can be made.
🌀 Abstract: This presentation introduces advancements in addressing compositional challenges in text-to-image (T2I) generation models. Current diffusion models often struggle to associate attributes accurately with the intended objects based on text prompts. To address this, a new Edge Prediction Vision Transformer (EPViT) is introduced for improved image-text alignment evaluation. Additionally, the proposed Focused Cross-Attention (FCA) mechanism uses syntactic constraints from input sentences to enhance visual attention maps. DisCLIP embeddings further disentangle multimodal embeddings, improving attribute-object alignment. These innovations integrate seamlessly into state-of-the-art diffusion models, enhancing T2I generation quality without additional model training.
Join us this week for an in-depth discussion on Compositional Learning in the context of cutting-edge text-to-image generative models. We will explore recent breakthroughs and challenges, focusing on how these models handle compositional tasks and where improvements can be made.
🌀 Abstract: This presentation introduces advancements in addressing compositional challenges in text-to-image (T2I) generation models. Current diffusion models often struggle to associate attributes accurately with the intended objects based on text prompts. To address this, a new Edge Prediction Vision Transformer (EPViT) is introduced for improved image-text alignment evaluation. Additionally, the proposed Focused Cross-Attention (FCA) mechanism uses syntactic constraints from input sentences to enhance visual attention maps. DisCLIP embeddings further disentangle multimodal embeddings, improving attribute-object alignment. These innovations integrate seamlessly into state-of-the-art diffusion models, enhancing T2I generation quality without additional model training.
In general, many financial experts support their clients’ desire to buy cryptocurrency, but they don’t recommend it unless clients express interest. “The biggest concern for us is if someone wants to invest in crypto and the investment they choose doesn’t do well, and then all of a sudden they can’t send their kids to college,” says Ian Harvey, a certified financial planner (CFP) in New York City. “Then it wasn’t worth the risk.” The speculative nature of cryptocurrency leads some planners to recommend it for clients’ “side” investments. “Some call it a Vegas account,” says Scott Hammel, a CFP in Dallas. “Let’s keep this away from our real long-term perspective, make sure it doesn’t become too large a portion of your portfolio.” In a very real sense, Bitcoin is like a single stock, and advisors wouldn’t recommend putting a sizable part of your portfolio into any one company. At most, planners suggest putting no more than 1% to 10% into Bitcoin if you’re passionate about it. “If it was one stock, you would never allocate any significant portion of your portfolio to it,” Hammel says.
For some time, Mr. Durov and a few dozen staffers had no fixed headquarters, but rather traveled the world, setting up shop in one city after another, he told the Journal in 2016. The company now has its operational base in Dubai, though it says it doesn’t keep servers there.Mr. Durov maintains a yearslong friendship from his VK days with actor and tech investor Jared Leto, with whom he shares an ascetic lifestyle that eschews meat and alcohol.
