Fix projection for images with non-centered camera (e.g. crops)

gsplat/_torch_impl.py

@@ -245,8 +245,8 @@ def project_cov3d_ewa(
     viewmat: Tensor,
     fx: float,
     fy: float,
-    tan_fovx: float,
-    tan_fovy: float,
+    lim_x: Tuple[float, float],
+    lim_y: Tuple[float, float],
     is_valid: Optional[Tensor] = None,
 ) -> Tuple[Tensor, Tensor]:
     assert mean3d.shape[-1] == 3, mean3d.shape
@@ -263,10 +263,8 @@ def project_cov3d_ewa(
     rz = 1.0 / t[..., 2]  # (...,)
     rz2 = rz**2  # (...,)
 
-    lim_x = 1.3 * torch.tensor([tan_fovx], device=mean3d.device)
-    lim_y = 1.3 * torch.tensor([tan_fovy], device=mean3d.device)
-    x_clamp = t[..., 2] * torch.clamp(t[..., 0] * rz, min=-lim_x, max=lim_x)
-    y_clamp = t[..., 2] * torch.clamp(t[..., 1] * rz, min=-lim_y, max=lim_y)
+    x_clamp = t[..., 2] * torch.clamp(t[..., 0] * rz, min=-lim_x[1], max=lim_x[0])
+    y_clamp = t[..., 2] * torch.clamp(t[..., 1] * rz, min=-lim_y[1], max=lim_y[0])
     t = torch.stack([x_clamp, y_clamp, t[..., 2]], dim=-1)
 
     O = torch.zeros_like(rz)
@@ -352,7 +350,7 @@ def project_pix(fxfy, p_view, center, eps=1e-6):
     return torch.stack([u, v], dim=-1)
 
 
-def clip_near_plane(p, viewmat, clip_thresh=0.01):
+def clip_near_plane(p, viewmat, clip_thresh=0.01) -> Tuple[Tensor, Tensor]:
     R = viewmat[:3, :3]
     T = viewmat[:3, 3]
     p_view = torch.einsum("ij,nj->ni", R, p) + T[None]
@@ -404,10 +402,12 @@ def project_gaussians_forward(
     fx, fy, cx, cy = intrins
     tan_fovx = 0.5 * img_size[0] / fx
     tan_fovy = 0.5 * img_size[1] / fy
+    lim_x = ((img_size[0] - cx) / fx + 0.3 * tan_fovx, cx / fx + 0.3 * tan_fovx)
+    lim_y = ((img_size[1] - cy) / fy + 0.3 * tan_fovy, cy / fy + 0.3 * tan_fovy)
     p_view, is_close = clip_near_plane(means3d, viewmat, clip_thresh)
     cov3d = scale_rot_to_cov3d(scales, glob_scale, quats)
     cov2d, compensation = project_cov3d_ewa(
-        means3d, cov3d, viewmat, fx, fy, tan_fovx, tan_fovy, ~is_close
+        means3d, cov3d, viewmat, fx, fy, lim_x, lim_y, ~is_close
     )
     conic, radius, det_valid = compute_cov2d_bounds(cov2d, ~is_close)
     xys = project_pix((fx, fy), p_view, (cx, cy))

gsplat/cuda/csrc/backward.cu

@@ -357,6 +357,10 @@ __global__ void project_gaussians_backward_kernel(
     float3 p_world = means3d[idx];
     float fx = intrins.x;
     float fy = intrins.y;
+    float cx = intrins.z;
+    float cy = intrins.w;
+    float tan_fovx = 0.5 * img_size.x / fx;
+    float tan_fovy = 0.5 * img_size.y / fy;
     float3 p_view = transform_4x3(viewmat, p_world);
     // get v_mean3d from v_xy
     v_mean3d[idx] = transform_4x3_rot_only_transposed(
@@ -375,12 +379,20 @@ __global__ void project_gaussians_backward_kernel(
     cov2d_to_conic_vjp(conics[idx], v_conic[idx], v_cov2d[idx]);
     cov2d_to_compensation_vjp(compensation[idx], conics[idx], v_compensation[idx], v_cov2d[idx]);
     // get v_cov3d (and v_mean3d contribution)
+    float lim_x_pos = (img_size.x - cx) / fx + 0.3f * tan_fovx;
+    float lim_x_neg = cx / fx + 0.3f * tan_fovx;
+    float lim_y_pos = (img_size.y - cy) / fy + 0.3f * tan_fovy;
+    float lim_y_neg = cy / fy + 0.3f * tan_fovy;
     project_cov3d_ewa_vjp(
         p_world,
         &(cov3d[6 * idx]),
         viewmat,
         fx,
         fy,
+        lim_x_pos,
+        lim_x_neg,
+        lim_y_pos,
+        lim_y_neg,
         v_cov2d[idx],
         v_mean3d[idx],
         &(v_cov3d[6 * idx])
@@ -403,6 +415,10 @@ __device__ void project_cov3d_ewa_vjp(
     const float* __restrict__ viewmat,
     const float fx,
     const float fy,
+    const float lim_x_pos,
+    const float lim_x_neg,
+    const float lim_y_pos,
+    const float lim_y_neg,
     const float3& __restrict__ v_cov2d,
     float3& __restrict__ v_mean3d,
     float* __restrict__ v_cov3d
@@ -418,6 +434,10 @@ __device__ void project_cov3d_ewa_vjp(
     // clang-format on
     glm::vec3 p = glm::vec3(viewmat[3], viewmat[7], viewmat[11]);
     glm::vec3 t = W * glm::vec3(mean3d.x, mean3d.y, mean3d.z) + p;
+
+    t.x = t.z * std::min(lim_x_pos, std::max(-lim_x_neg, t.x / t.z));
+    t.y = t.z * std::min(lim_y_pos, std::max(-lim_y_neg, t.y / t.z));
+
     float rz = 1.f / t.z;
     float rz2 = rz * rz;
 

gsplat/cuda/csrc/backward.cuh

@@ -79,6 +79,10 @@ __device__ void project_cov3d_ewa_vjp(
     const float *viewmat,
     const float fx,
     const float fy,
+    const float lim_x_pos,
+    const float lim_x_neg,
+    const float lim_y_pos,
+    const float lim_y_neg,
     const float3 &v_cov2d,
     float3 &v_mean3d,
     float *v_cov3d

gsplat/cuda/csrc/forward.cu

@@ -63,10 +63,14 @@ __global__ void project_gaussians_forward_kernel(
     float cy = intrins.w;
     float tan_fovx = 0.5 * img_size.x / fx;
     float tan_fovy = 0.5 * img_size.y / fy;
+    float lim_x_pos = (img_size.x - cx) / fx + 0.3f * tan_fovx;
+    float lim_x_neg = cx / fx + 0.3f * tan_fovx;
+    float lim_y_pos = (img_size.y - cy) / fy + 0.3f * tan_fovy;
+    float lim_y_neg = cy / fy + 0.3f * tan_fovy;
     float3 cov2d;
     float comp;
     project_cov3d_ewa(
-        p_world, cur_cov3d, viewmat, fx, fy, tan_fovx, tan_fovy,
+        p_world, cur_cov3d, viewmat, fx, fy, lim_x_pos, lim_x_neg, lim_y_pos, lim_y_neg,
         cov2d, comp
     );
     // printf("cov2d %d, %.2f %.2f %.2f\n", idx, cov2d.x, cov2d.y, cov2d.z);
@@ -425,8 +429,10 @@ __device__ void project_cov3d_ewa(
     const float* __restrict__ viewmat,
     const float fx,
     const float fy,
-    const float tan_fovx,
-    const float tan_fovy,
+    const float lim_x_pos,
+    const float lim_x_neg,
+    const float lim_y_pos,
+    const float lim_y_neg,
     float3 &cov2d,
     float &compensation
 ) {
@@ -447,11 +453,8 @@ __device__ void project_cov3d_ewa(
     glm::vec3 p = glm::vec3(viewmat[3], viewmat[7], viewmat[11]);
     glm::vec3 t = W * glm::vec3(mean3d.x, mean3d.y, mean3d.z) + p;
 
-    // clip so that the covariance
-    float lim_x = 1.3f * tan_fovx;
-    float lim_y = 1.3f * tan_fovy;
-    t.x = t.z * std::min(lim_x, std::max(-lim_x, t.x / t.z));
-    t.y = t.z * std::min(lim_y, std::max(-lim_y, t.y / t.z));
+    t.x = t.z * std::min(lim_x_pos, std::max(-lim_x_neg, t.x / t.z));
+    t.y = t.z * std::min(lim_y_pos, std::max(-lim_y_neg, t.y / t.z));
 
     float rz = 1.f / t.z;
     float rz2 = rz * rz;

gsplat/cuda/csrc/forward.cuh

@@ -64,8 +64,10 @@ __device__ void project_cov3d_ewa(
     const float *viewmat,
     const float fx,
     const float fy,
-    const float tan_fovx,
-    const float tan_fovy,
+    const float lim_x_pos,
+    const float lim_x_neg,
+    const float lim_y_pos,
+    const float lim_y_neg,
     float3 &cov2d,
     float &comp
 );

gsplat/version.py

@@ -1 +1 @@
-__version__ = "0.1.12"
+__version__ = "0.1.13"

tests/test_project_gaussians.py

@@ -217,13 +217,15 @@ def project_cov3d_ewa_partial(mean3d, cov3d):
         """
         tan_fovx = 0.5 * W / fx
         tan_fovy = 0.5 * H / fy
+        lim_x = ((W - cx) / fx + 0.3 * tan_fovx, cx / fx + 0.3 * tan_fovx)
+        lim_y = ((H - cy) / fy + 0.3 * tan_fovy, cy / fy + 0.3 * tan_fovy)
 
         cov3d_mat = torch.zeros(*cov3d.shape[:-1], 3, 3, device=device)
         i, j = torch.triu_indices(3, 3)
         cov3d_mat[..., i, j] = cov3d
         cov3d_mat[..., [1, 2, 2], [0, 0, 1]] = cov3d[..., [1, 2, 4]]
         cov2d, _ = _torch_impl.project_cov3d_ewa(
-            mean3d, cov3d_mat, viewmat, fx, fy, tan_fovx, tan_fovy
+            mean3d, cov3d_mat, viewmat, fx, fy, lim_x, lim_y
         )
         ii, jj = torch.triu_indices(2, 2)
         return cov2d[..., ii, jj]