Synthesizing realistic images from human drawn sketches is a challenging problem in
computer graphics and vision. Existing approaches either need exact edge maps, or rely on …

Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in
which queries are abstract and ambiguous sketches while the retrieval database is formed …

Sketch-based image retrieval (SBIR) is the task of retrieving images from a natural image
database that correspond to a given hand-drawn sketch. Ideally, an SBIR model should …

Due to the succinct nature of free-hand sketch drawings, sketch-based image retrieval
(SBIR) has abundant practical use cases in consumer electronics. However, SBIR remains a …

Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap
between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are …

Fine-grained image retrieval (FGIR) enables a user to search for a photo of an object
instance based on a mental picture. Depending on how the object is described by the user …

Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) is to use free-hand sketches as
queries to perform instance-level retrieval in an image gallery. Existing works usually …

Abstract Fine-grained Sketch-based Image Retrieval (FG-SBIR), which utilizes hand-drawn
sketches to search the target object images, has recently drawn much attention. It is a …

We present the first one-shot personalized sketch segmentation method. We aim to segment
all sketches belonging to the same category provisioned with a single sketch with a given …

We study the problem of fine-grained sketch-based image retrieval. By performing instance-
level (rather than category-level) retrieval, it embodies a timely and practical application …