sense2vec tags tokens with information from syntactic parsing and by that offers finer grained meaning on the word level. Here is a good implementation btw: https://spacy.io/blog/sense2vec-with-spacy

lda2vec has a different goal, namely classifying utterances with features on the sentence/document level. Thus it is to my understanding doc2vec with regularization for enhanced interpretability.