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Check out our #PAMI paper with code "Dense Continuous-Time Optical Flow from Event Cameras," where we show how to regress *continuous-time* trajectories of every pixel from event cameras alone or events plus frames! The key idea is to iteratively estimate per-pixel polynomials using a recurrent lookup and update scheme....

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Davide Scaramuzza

17,690 subscribers

12,637 Aufrufe • vor 2 Jahren •via X (Twitter)

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David Jinvor 2 Jahren

Sorry to ask a question before reading the paper. May I ask if I need to train for a different data set or it will work with your pretrained checkpoints?

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Our token, $PIXEL, is officially live on Binance, the world’s largest crypto exchange 🔥 We’ve been working towards this moment for over 2 years, and we couldn’t be more excited to share this massive milestone with you all. This is just the beginning and the best is yet to come for the Pixels community. New here? Welcome to Pixels: Pixels is a free-to-play farming MMO with a play-to-earn (P2E) model. Gameplay revolves around resource management, strategic exploration and community building. Over the past year, we’ve grown to one of Web3’s largest games, with daily active players of 180k+. At Pixels, we build with our community. We're far from a traditional game studio, and our development process reflects that. Over the past 2 years, we’ve had 60+ public updates. This approach enables us to iterate and experiment more quickly, giving players a true sense of ownership over the game's direction. When you join our community, you are not just a player of Pixels, but a creator of it. Our Mission: We’re excited by the potential of Web3 technology and its ability to significantly enhance the gaming experience. We aim to experiment, build, and iterate on the features that make Web3 gaming unique. We’re here to set a new standard. Here are some of the interesting areas we've leaned into: ➡️ P2E: earn $PIXEL by participating in gameplay ➡️ Guilds: friendtech + competition ➡️ On-chain Reputation & Player Personas: creating a sustainable ecosystem of real players ➡️ Interoperability: using on-chain data to bring communities together We're eager to explore more possibilities in this space and push Web3 even further. Meet $PIXEL ✨ $PIXEL is an in-game utility token. It allows players to enhance their gameplay experience in various ways: ➡️ Purchase VIP memberships ➡️ Create and join guilds ➡️ Mint a Pixels Pet ➡️ Upgrade lands We believe Web3 games don’t need to look exactly like Web2 games. However, P2E formats need sustainable structures and economics. With that, we’ve focused heavily on persona types: why would each user want to use this token? We want to ensure we’ve created an environment where first: ➡️ Our game is providing real enjoyment and entertainment to our users ➡️ Our currency can help amplify that experience without affecting the experience of other users How do I get $PIXEL? Users can earn $PIXEL in-game right now. Head over to Buck’s Galore and chat with Hazel. She will provide you with your daily list of tasks. Within these tasks, you may be lucky enough to be given one that rewards in $PIXEL. Final Thoughts: In 2024, Pixels is stepping into its next chapter of growth fueled by the listing of $PIXEL on Binance. To the Pixels community, today is a historic moment for all of us. We can’t wait to welcome even more members to our community in the days, weeks, and years to come.
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Our token, $PIXEL, is officially live on Binance, the world’s largest crypto exchange 🔥 We’ve been working towards this moment for over 2 years, and we couldn’t be more excited to share this massive milestone with you all. This is just the beginning and the best is yet to come for the Pixels community. New here? Welcome to Pixels: Pixels is a free-to-play farming MMO with a play-to-earn (P2E) model. Gameplay revolves around resource management, strategic exploration and community building. Over the past year, we’ve grown to one of Web3’s largest games, with daily active players of 180k+. At Pixels, we build with our community. We're far from a traditional game studio, and our development process reflects that. Over the past 2 years, we’ve had 60+ public updates. This approach enables us to iterate and experiment more quickly, giving players a true sense of ownership over the game's direction. When you join our community, you are not just a player of Pixels, but a creator of it. Our Mission: We’re excited by the potential of Web3 technology and its ability to significantly enhance the gaming experience. We aim to experiment, build, and iterate on the features that make Web3 gaming unique. We’re here to set a new standard. Here are some of the interesting areas we've leaned into: ➡️ P2E: earn $PIXEL by participating in gameplay ➡️ Guilds: friendtech + competition ➡️ On-chain Reputation & Player Personas: creating a sustainable ecosystem of real players ➡️ Interoperability: using on-chain data to bring communities together We're eager to explore more possibilities in this space and push Web3 even further. Meet $PIXEL ✨ $PIXEL is an in-game utility token. It allows players to enhance their gameplay experience in various ways: ➡️ Purchase VIP memberships ➡️ Create and join guilds ➡️ Mint a Pixels Pet ➡️ Upgrade lands We believe Web3 games don’t need to look exactly like Web2 games. However, P2E formats need sustainable structures and economics. With that, we’ve focused heavily on persona types: why would each user want to use this token? We want to ensure we’ve created an environment where first: ➡️ Our game is providing real enjoyment and entertainment to our users ➡️ Our currency can help amplify that experience without affecting the experience of other users How do I get $PIXEL? Users can earn $PIXEL in-game right now. Head over to Buck’s Galore and chat with Hazel. She will provide you with your daily list of tasks. Within these tasks, you may be lucky enough to be given one that rewards in $PIXEL. Final Thoughts: In 2024, Pixels is stepping into its next chapter of growth fueled by the listing of $PIXEL on Binance. To the Pixels community, today is a historic moment for all of us. We can’t wait to welcome even more members to our community in the days, weeks, and years to come.

Pixels

1,461,427 Aufrufe • vor 2 Jahren

My game is using pixel art textures with a pixel density of 64px per meter. Got Dmitry Karpukhin blockout tool. Set the grid size to 15.625 and added a decimal grid size of 1.5625 to the editor for snapping. Ta-da pixel-perfect. And yes, I'm a maniac. 😜
0:37

My game is using pixel art textures with a pixel density of 64px per meter. Got Dmitry Karpukhin blockout tool. Set the grid size to 15.625 and added a decimal grid size of 1.5625 to the editor for snapping. Ta-da pixel-perfect. And yes, I'm a maniac. 😜

Gordon Zuchhold

22,914 Aufrufe • vor 2 Monaten

Working on drawing my the next town for Lair, pixel by pixel. It might not look like it from the zoomed out pictures but there is a lot of detail and these take a really long time.
0:48

Working on drawing my the next town for Lair, pixel by pixel. It might not look like it from the zoomed out pictures but there is a lot of detail and these take a really long time.

David - Nostalgic Realms - Lair of the Leviathan

11,645 Aufrufe • vor 11 Monaten

In my experience, robot 'generalists' are often jacks of all trades but masters of none. In training across multiple tasks and environments, robot policies fail to generalize robustly and effectively to each particular test setting. What if at test time, we non-parametrically *retrieved* “relevant” data from the training set and used it to significantly improve the performance of few-shot imitation learning to be robust to various test time scenes. Notably, we are *not* collecting lots of new data, just training more on sub-components of the same training data! Now, we’re certainly not the first to suggest retrieval, but in our new work - STRAP, we show how retrieving relevant *sub-trajectories* from offline datasets can significantly increase data reuse across tasks, when paired with an appropriate metric space. A 🧵 (1/7)
0:43

In my experience, robot 'generalists' are often jacks of all trades but masters of none. In training across multiple tasks and environments, robot policies fail to generalize robustly and effectively to each particular test setting. What if at test time, we non-parametrically *retrieved* “relevant” data from the training set and used it to significantly improve the performance of few-shot imitation learning to be robust to various test time scenes. Notably, we are *not* collecting lots of new data, just training more on sub-components of the same training data! Now, we’re certainly not the first to suggest retrieval, but in our new work - STRAP, we show how retrieving relevant *sub-trajectories* from offline datasets can significantly increase data reuse across tasks, when paired with an appropriate metric space. A 🧵 (1/7)

Abhishek Gupta

12,045 Aufrufe • vor 1 Jahr