Results 11 to 20 of about 1,013,198 (399)
Paint by Example: Exemplar-based Image Editing with Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2022 Language-guided image editing has achieved great success recently. In this paper, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to disentangle and re-organize the source
Binxin Yang +7 more
semanticscholar +1 more source
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model [PDF]
ACM Multimedia, 2023 Recently, text-to-image denoising diffusion probabilistic models (DDPMs) have demonstrated impressive image generation capabilities and have also been successfully applied to image inpainting.
Shiyuan Yang, Xiaodong Chen, Jing Liao
semanticscholar +1 more source
Ultralight plasmonic structural color paint [PDF]
Science Advances, 2023 All present commercial colors are based on pigments. While such traditional pigment-based colorants offer a commercial platform for large-volume and angle insensitiveness, they are limited by their instability in atmosphere, color fading, and severe ...
Pablo Cencillo‐Abad +4 more
semanticscholar +1 more source
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering [PDF]
Computer Vision and Pattern Recognition, 2023 We present Paint-it, a text-driven high-fidelity texture map synthesis method for 3D meshes via neural re-parameterized texture optimization. Paint-it synthesizes texture maps from a text description by synthesis-through-optimization, exploiting the ...
Youwang Kim +2 more
semanticscholar +1 more source
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [PDF]
IEEE International Conference on Computer Vision, 2021 Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks.
Songhua Liu +7 more
semanticscholar +1 more source
Perspective (In)consistency of Paint by Text [PDF]
arXiv.org, 2022 Type"a sea otter with a pearl earring by Johannes Vermeer"or"a photo of a teddy bear on a skateboard in Times Square"into OpenAI's DALL-E-2 paint-by-text synthesis engine and you will not be disappointed by the delightful and eerily pertinent results ...
Hany Farid
semanticscholar +1 more source
Lighting (In)consistency of Paint by Text [PDF]
arXiv.org, 2022 Whereas generative adversarial networks are capable of synthesizing highly realistic images of faces, cats, landscapes, or almost any other single category, paint-by-text synthesis engines can -- from a single text prompt -- synthesize realistic images ...
Hany Farid
semanticscholar +1 more source
CiDEA Journal, 2023 This study aims to analyze the effect of price, product quality on the decision to buy paint at the Paint De'lucent Paint shop. This research design uses a quantitative approach.
Alimatuts Satdiah +2 more
semanticscholar +1 more source
Multi-car paint shop optimization with quantum annealing [PDF]
International Conference on Quantum Computing and Engineering, 2021 We present a generalization of the binary paint shop problem (BPSP) to tackle an automotive industry application, the multi-car paint shop (MCPS) problem.
S. Yarkoni +5 more
semanticscholar +1 more source
Fluorescence lifetime DNA-PAINT for multiplexed super-resolution imaging of cells
Communications Biology, 2022 DNA point accumulation for imaging in nanoscale topography (DNA-PAINT) is a powerful super-resolution technique highly suitable for multi-target (multiplexing) bio-imaging.
Nazar Oleksiievets +10 more
semanticscholar +1 more source