normalizing transcript-level expression data

Generally, RNA-seq analysis tools like edgeR or DESeq2 work on gene-level data. For differential expression (or differential transcript usage), transcript-level data has its own caveats. However, for just visualization, is it reasonable to normalize transcript-level counts with classical methods (like TMM) or just stick with TPMs (generated by kallisto/salmon)?