{"id":"2501.18913","title":"Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior","url":"https://codeofpaper.com/paper/2501.18913","arxiv_url":"https://arxiv.org/abs/2501.18913","published":"2025-01-01","code":"community","best":{"full_name":"tongdaxu/Rethinking-Diffusion-Posterior-Sampling-From-Conditional-Score-Estimator-to-Maximizing-a-Posterior","url":"https://github.com/tongdaxu/Rethinking-Diffusion-Posterior-Sampling-From-Conditional-Score-Estimator-to-Maximizing-a-Posterior","tier":"high_confidence_community","stars":22,"license":null,"framework":null,"language":"Python","last_commit":"2025-01-31T03:44:20"},"most_starred_community":null,"implementations":[{"full_name":"tongdaxu/Rethinking-Diffusion-Posterior-Sampling-From-Conditional-Score-Estimator-to-Maximizing-a-Posterior","url":"https://github.com/tongdaxu/Rethinking-Diffusion-Posterior-Sampling-From-Conditional-Score-Estimator-to-Maximizing-a-Posterior","tier":"high_confidence_community","stars":22,"license":null,"framework":null,"language":"Python","last_commit":"2025-01-31T03:44:20"}],"possible_matches":0}