Geekyutao Tao Yu Github My research interests lie in computer vision and reinforcement learning. email: [email protected]. inpaint anything using segment anything and inpainting models. this repo is the official implementation of "mask based latent reconstruction for reinforcement learning" (neurips 2022). currently busy with work. His main research interest is in natural language processing. his research aims to develop embodied ai agents that empower users to use language to interact with digital and physical environments to carry out real world tasks.
Geekyutao Tao Yu Github User profile of tao yu on hugging face. Opencua 72b preview now ranks #1 on the osworld verified leaderboard ( os world.github.io). it is a pure gui action, end to end computer use foundation model (website: opencua.xlang.ai). When a giiker cube is connected, all moves made on the giiker will be reflected on the virtual cube. the giiker cube should be held with white on top and green in front. and finally do a random number of rotations. enter colour names, or rgb values as #rrggbb. Contribute to geekyutao geekyutao development by creating an account on github.
Tao Github Pages Github When a giiker cube is connected, all moves made on the giiker will be reflected on the virtual cube. the giiker cube should be held with white on top and green in front. and finally do a random number of rotations. enter colour names, or rgb values as #rrggbb. Contribute to geekyutao geekyutao development by creating an account on github. Beyond closed pool video retrieval: a benchmark and agent framework for real world video search and moment localization. project. With powerful vision models, e.g., sam, lama and stable diffusion (sd), inpaint anything is able to remove the object smoothly (i.e., remove anything). further, prompted by user input text, inpaint anything can fill the object with any desired content (i.e., fill anything) or replace the background of it arbitrarily (i.e., replace anything). Based on this observation, we propose a distortion graph representation (dgr) learning framework for iqa, called graphiqa. in graphiqa, each distortion is represented as a graph i.e. dgr. Algorithm trainer. channel. tao yu. wca profile. 2012yuta01.
Yokoyoko Yu Github Beyond closed pool video retrieval: a benchmark and agent framework for real world video search and moment localization. project. With powerful vision models, e.g., sam, lama and stable diffusion (sd), inpaint anything is able to remove the object smoothly (i.e., remove anything). further, prompted by user input text, inpaint anything can fill the object with any desired content (i.e., fill anything) or replace the background of it arbitrarily (i.e., replace anything). Based on this observation, we propose a distortion graph representation (dgr) learning framework for iqa, called graphiqa. in graphiqa, each distortion is represented as a graph i.e. dgr. Algorithm trainer. channel. tao yu. wca profile. 2012yuta01.
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