Considering that you want to display all columns (*), then you can conditionally join against both tables by checking the work.type as a join condition:
select
*
from
works
left join users on
users.id = work.owner and
work.type = 1
left join groups on
groups.id = work.owner and
(work.type <> 1 OR work.type IS NULL)
A particular row from the works table can only have a particular value for type, so it will join against users or against groups, but never both. The problem with this solution becomes the displayed columns, since we are joining against both tables, now you have to unify groups and users columns.
You can do this with a bunch of ISNULLs:
select
works.*,
Column1 = ISNULL(users.Column1, groups.Column1),
Column2 = ISNULL(users.Column2, groups.Column2)
from
works
left join users on
users.id = work.owner and
work.type = 1
left join groups on
groups.id = work.owner and
(work.type <> 1 OR work.type IS NULL)
If you need to use the same select repeatedly, you can create a table-valued function to wrap this up so you don't have to code it every time. I'll use the table example to show another alternative, using UNION ALL.
CREATE FUNCTION dbo.GetWorkData (@owner INT) -- assuming its a INT
RETURNS TABLE
AS
RETURN
SELECT
-- Your wanted columns here
FROM
works AS W
INNER JOIN users AS U ON W.owner = U.owner
WHERE
W.owner = @owner AND
W.type = 1
UNION ALL
SELECT
-- Your wanted columns here (must be same data type and order of previous SELECT)
FROM
works AS W
INNER JOIN groups AS U ON W.owner = U.owner
WHERE
W.owner = @owner AND
(W.type <> 1 OR W.type IS NULL)
You can use the function with APPLY:
SELECT
D.*
FROM
works AS W
CROSS APPLY dbo.GetWorkData(W.owner) AS D -- User "OUTER APPLY" if you want works that have no users or groups