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Emergent correspondence from image diffusion
Finding correspondences between images is a fundamental problem in computer vision. In
this paper, we show that correspondence emerges in image diffusion models without any …
this paper, we show that correspondence emerges in image diffusion models without any …
[HTML][HTML] A survey on image and video stitching
Image/video stitching is a technology for solving the field of view (FOV) limitation of
images/videos. It stitches multiple overlap** images/videos to generate a wide-FOV …
images/videos. It stitches multiple overlap** images/videos to generate a wide-FOV …
A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence
Text-to-image diffusion models have made significant advances in generating and editing
high-quality images. As a result, numerous approaches have explored the ability of diffusion …
high-quality images. As a result, numerous approaches have explored the ability of diffusion …
Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Diffusion models have been shown to be capable of generating high-quality images,
suggesting that they could contain meaningful internal representations. Unfortunately, the …
suggesting that they could contain meaningful internal representations. Unfortunately, the …
[PDF][PDF] Deep vit features as dense visual descriptors
We study the use of deep features extracted from a pretrained Vision Transformer (ViT) as
dense visual descriptors. We observe and empirically demonstrate that such features, when …
dense visual descriptors. We observe and empirically demonstrate that such features, when …
Unsupervised semantic correspondence using stable diffusion
Text-to-image diffusion models are now capable of generating images that are often
indistinguishable from real images. To generate such images, these models must …
indistinguishable from real images. To generate such images, these models must …
Cross-domain correspondence learning for exemplar-based image translation
We present a general framework for exemplar-based image translation, which synthesizes a
photo-realistic image from the input in a distinct domain (eg, semantic segmentation mask …
photo-realistic image from the input in a distinct domain (eg, semantic segmentation mask …
Going denser with open-vocabulary part segmentation
Object detection has been expanded from a limited number of categories to open
vocabulary. Moving forward, a complete intelligent vision system requires understanding …
vocabulary. Moving forward, a complete intelligent vision system requires understanding …
Cross-image attention for zero-shot appearance transfer
Recent advancements in text-to-image generative models have demonstrated a remarkable
ability to capture a deep semantic understanding of images. In this work, we leverage this …
ability to capture a deep semantic understanding of images. In this work, we leverage this …
Zero-shot everything sketch-based image retrieval, and in explainable style
This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR),
however with two significant differentiators to prior art (i) we tackle all variants (inter …
however with two significant differentiators to prior art (i) we tackle all variants (inter …