In this paper, we leverage CLIP for zero-shot sketch based image retrieval (ZS-SBIR). We are largely inspired by recent advances on foundation models and the unparalleled …
Sketches are highly expressive, inherently capturing subjective and fine-grained visual cues. The exploration of such innate properties of human sketches has, however, been …
D Li, Y Yang, YZ Song… - Proceedings of the …, 2017 - openaccess.thecvf.com
The problem of domain generalization is to learn from multiple training domains, and extract a domain-agnostic model that can then be applied to an unseen domain. Domain …
Heterogeneous face recognition (HFR) refers to matching face imagery across different domains. It has received much interest from the research community as a result of its …
Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …
Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …
P Sangkloy, N Burnell, C Ham, J Hays - ACM Transactions on Graphics …, 2016 - dl.acm.org
We present the Sketchy database, the first large-scale collection of sketch-photo pairs. We ask crowd workers to sketch particular photographic objects sampled from 125 categories …
S Lee, D Kim, B Han - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
We tackle the task of image retrieval with text feedback, where a reference image and modifier text are combined to identify the desired target image. We focus on designing an …
Image synthesis is a process of converting the input text, sketch, or other sources, ie, another image or mask, into an image. It is an important problem in the computer vision field, where it …