@@ -160,13 +160,13 @@ class TwodgsModelConfig(ModelConfig):
160160 """Whether to randomize the background color."""
161161 num_downscales : int = 2
162162 """at the beginning, resolution is 1/2^d, where d is this number"""
163- cull_alpha_thresh : float = 0.1
163+ cull_alpha_thresh : float = 0.05
164164 """threshold of opacity for culling gaussians. One can set it to a lower value (e.g. 0.005) for higher quality."""
165165 cull_scale_thresh : float = 0.5
166166 """threshold of scale for culling huge gaussians"""
167167 reset_alpha_every : int = 30
168168 """Every this many refinement steps, reset the alpha"""
169- densify_grad_thresh : float = 0.0008
169+ densify_grad_thresh : float = 0.0005
170170 """threshold of positional gradient norm for densifying gaussians"""
171171 use_absgrad : bool = True
172172 """Whether to use absgrad to densify gaussians, if False, will use grad rather than absgrad"""
@@ -222,7 +222,7 @@ class TwodgsModelConfig(ModelConfig):
222222 """If True, apply color correction to the rendered images before computing the metrics."""
223223 use_normal_loss : bool = True
224224 """Enable normal consistency loss. [2DGS experimental]"""
225- normal_lambda : float = 5e -2
225+ normal_lambda : float = 8e -2
226226 """Weight for normal loss"""
227227 normal_start_iter : int = 5_000
228228 """Iteration to start normal consistency regulerization"""
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