Table 2. Differences between the compared methods.

We compare our method with Neural Body [50] (typ-
ically used with multiple cameras) and HyperNeRF [48]
(single moving camera around the subject), state-of-the-art
methods for modeling humans and general scenes for novel
view synthesis. Our method works with a single camera
which can be static or moving; we focus on results with a
static camera and moving subjects, a natural way to cap-
ture a person’s performance. The differences between these
methods are listed in Table 2.

Figure 3. Qualitative comparison on ZJU-MoCap dataset.

5.4. Comparisons

We found HyperNeRF does not produce meaningful out-
put for novel view synthesis in our experiments, as shown
in Fig. 4, likely because it relies on multiple views (moving
HumanNeRF- Free-viewpoint Rendering of Moving People from Monocular Video