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Found 12 papers, 10 papers with code
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds
This pre-processing is usually conducted via a Structure-from-Motion (SfM) pipeline, a procedure that can be slow and unreliable, particularly in sparse-view scenarios with insufficient matched features for accurate reconstruction.
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
Cross-scene generalizable NeRF models, which can directly synthesize novel views of unseen scenes, have become a new spotlight of the NeRF field.
Deep Image Harmonization with Learnable Augmentation
In particular, our designed SYthetic COmposite Network (SycoNet) takes in a real image with foreground mask and a random vector to learn suitable color transformation, which is applied to the foreground of this real image to produce a synthetic composite image.
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
We propose Reference-based Painterly Inpainting, a novel task that crosses the wild reference domain gap and implants novel objects into artworks.
Deep Video Harmonization with Color Mapping Consistency
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background.
HYouTube: Video Harmonization Dataset
In this work, we construct a new video harmonization dataset HYouTube by adjusting the foreground of real videos to create synthetic composite videos.
High-Resolution Image Harmonization via Collaborative Dual Transformations
Conventional image harmonization methods learn global RGB-to-RGB transformation which could effortlessly scale to high resolution, but ignore diverse local context.
Ranked #3 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
Deep Image Harmonization by Bridging the Reality Gap
Image harmonization has been significantly advanced with large-scale harmonization dataset.
BargainNet: Background-Guided Domain Translation for Image Harmonization
Therefore, we propose an image harmonization network with a novel domain code extractor and well-tailored triplet losses, which could capture the background domain information to guide the foreground harmonization.
Ranked #13 on
Image Harmonization
on iHarmony4
DoveNet: Deep Image Harmonization via Domain Verification
Image composition is an important operation in image processing, but the inconsistency between foreground and background significantly degrades the quality of composite image.
Ranked #6 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night
Image composition is an important operation in image processing, but the inconsistency between foreground and background significantly degrades the quality of composite image.
