Update README.md

README.md

@@ -9,11 +9,11 @@ efficient volumetric rendering of radiance fields, which is universal and plug-a
 
 Using NerfAcc, 
 
-- The `vanilla NeRF` model with 8-layer MLPs can be trained to *better quality* (+~0.5 PNSR) \
+- The `vanilla NeRF` model with 8-layer MLPs can be trained to *better quality* (+~0.5 PNSR)
   in *1 hour* rather than *1~2 days* as in the paper.
-- The `Instant-NGP NeRF` model can be trained to *better quality* (+~0.7 PSNR) with *9/10th* of \
+- The `Instant-NGP NeRF` model can be trained to *better quality* (+~0.7 PSNR) with *9/10th* of
   the training time (4.5 minutes) comparing to the official pure-CUDA implementation.
-- The `D-NeRF` model for *dynamic* objects can also be trained in *1 hour* \
+- The `D-NeRF` model for *dynamic* objects can also be trained in *1 hour*
   rather than *2 days* as in the paper, and with *better quality* (+~0.5 PSNR).
 - Both *bounded* and *unbounded* scenes are supported.