diff --git a/src/adjtrans.jl b/src/adjtrans.jl
index ee610be7..89ece72a 100644
--- a/src/adjtrans.jl
+++ b/src/adjtrans.jl
@@ -560,3 +560,8 @@ diagview(A::Adjoint, k::Integer = 0) = _vecadjoint(diagview(parent(A), -k))
 # triu and tril
 triu!(A::AdjOrTransAbsMat, k::Integer = 0) = wrapperop(A)(tril!(parent(A), -k))
 tril!(A::AdjOrTransAbsMat, k::Integer = 0) = wrapperop(A)(triu!(parent(A), -k))
+
+function fillstored!(A::AdjOrTransAbsMat, v)
+    fillstored!(parent(A), wrapperop(A)(v))
+    return A
+end
diff --git a/src/bunchkaufman.jl b/src/bunchkaufman.jl
index a44f1a1c..07c3cdf4 100644
--- a/src/bunchkaufman.jl
+++ b/src/bunchkaufman.jl
@@ -215,6 +215,12 @@ BunchKaufman{T}(B::BunchKaufman) where {T} =
     BunchKaufman(convert(Matrix{T}, B.LD), B.ipiv, B.uplo, B.symmetric, B.rook, B.info)
 Factorization{T}(B::BunchKaufman) where {T} = BunchKaufman{T}(B)
 
+AbstractMatrix(B::BunchKaufman) = B.uplo == 'U' ? B.P'B.U*B.D*B.U'B.P : B.P'B.L*B.D*B.L'B.P
+AbstractArray(B::BunchKaufman) = AbstractMatrix(B)
+Matrix(B::BunchKaufman) = convert(Array, AbstractArray(B))
+Array(B::BunchKaufman) = Matrix(B)
+
+
 size(B::BunchKaufman) = size(getfield(B, :LD))
 size(B::BunchKaufman, d::Integer) = size(getfield(B, :LD), d)
 issymmetric(B::BunchKaufman) = B.symmetric
diff --git a/src/cholesky.jl b/src/cholesky.jl
index 2952503e..42550297 100644
--- a/src/cholesky.jl
+++ b/src/cholesky.jl
@@ -646,7 +646,7 @@ Factorization{T}(C::CholeskyPivoted) where {T} = CholeskyPivoted{T}(C)
 
 AbstractMatrix(C::Cholesky) = C.uplo == 'U' ? C.U'C.U : C.L*C.L'
 AbstractArray(C::Cholesky) = AbstractMatrix(C)
-Matrix(C::Cholesky) = Array(AbstractArray(C))
+Matrix(C::Cholesky) = convert(Array, AbstractArray(C))
 Array(C::Cholesky) = Matrix(C)
 
 function AbstractMatrix(F::CholeskyPivoted)
@@ -655,7 +655,7 @@ function AbstractMatrix(F::CholeskyPivoted)
     U'U
 end
 AbstractArray(F::CholeskyPivoted) = AbstractMatrix(F)
-Matrix(F::CholeskyPivoted) = Array(AbstractArray(F))
+Matrix(F::CholeskyPivoted) = convert(Array, AbstractArray(F))
 Array(F::CholeskyPivoted) = Matrix(F)
 
 copy(C::Cholesky) = Cholesky(copy(C.factors), C.uplo, C.info)
diff --git a/src/dense.jl b/src/dense.jl
index 234b1022..9621e115 100644
--- a/src/dense.jl
+++ b/src/dense.jl
@@ -218,6 +218,8 @@ function fillband!(A::AbstractMatrix{T}, x, l, u) where T
     return A
 end
 
+fillstored!(A::AbstractMatrix, v) = fill!(A, v)
+
 diagind(m::Integer, n::Integer, k::Integer=0) = diagind(IndexLinear(), m, n, k)
 diagind(::IndexLinear, m::Integer, n::Integer, k::Integer=0) =
     k <= 0 ? range(1-k, step=m+1, length=min(m+k, n)) : range(k*m+1, step=m+1, length=min(m, n-k))
diff --git a/test/adjtrans.jl b/test/adjtrans.jl
index e5654004..371230b9 100644
--- a/test/adjtrans.jl
+++ b/test/adjtrans.jl
@@ -771,4 +771,15 @@ end
     end
 end
 
+@testset "fillstored!" begin
+    A = rand(ComplexF64, 4, 4)
+    U = UpperTriangular(A)
+    @testset for (op, f) in ((Adjoint, adjoint), (Transpose, transpose))
+        @test LinearAlgebra.fillstored!(op(A), 1) == op(fill(1, size(A)))
+        @test LinearAlgebra.fillstored!(op(A), 2im) == op(fill(f(2im), size(A)))
+        @test LinearAlgebra.fillstored!(op(U), 1) == op(triu(fill(1, size(U))))
+        @test LinearAlgebra.fillstored!(op(U), 2im) == op(triu(fill(f(2im), size(U))))
+    end
+end
+
 end # module TestAdjointTranspose
diff --git a/test/bunchkaufman.jl b/test/bunchkaufman.jl
index cf4fa488..3e3e0d71 100644
--- a/test/bunchkaufman.jl
+++ b/test/bunchkaufman.jl
@@ -259,4 +259,13 @@ end
     @test B.U * B.D * B.U' ≈ S
 end
 
+@testset "BunchKaufman array constructors #1461" begin
+    a = randn(5,5)
+    A = a'a
+    for ul in (:U, :L)
+        B = bunchkaufman(Symmetric(A, ul))
+        @test A ≈ Array(B) ≈ Matrix(B) ≈ AbstractArray(B) ≈ AbstractMatrix(B)
+    end
+end
+
 end # module TestBunchKaufman