lpips
PulseAugur coverage of lpips — every cluster mentioning lpips across labs, papers, and developer communities, ranked by signal.
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ViTok-v2 scales to 5B parameters, advancing image autoencoder reconstruction and generation
Researchers have introduced ViTok-v2, a 5-billion parameter image autoencoder that scales to larger resolutions and parameter counts than previous models. This new model utilizes native resolution support and a DINOv3 p…
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PixelGen paper introduces perceptual supervision to boost pixel diffusion image generation
Researchers have introduced PixelGen, a novel end-to-end pixel diffusion framework designed to enhance image generation quality. PixelGen incorporates perceptual losses, specifically LPIPS for local textures and P-DINO …
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Researchers develop new differentiable VQ for optimized generative image compression
Researchers have developed RDVQ, a novel framework for optimizing generative image compression. This approach uses a differentiable relaxation of the codebook distribution to enable end-to-end rate-distortion optimizati…
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GOR-IS framework improves 3D object removal with intrinsic space inpainting
Researchers have developed GOR-IS, a new framework for removing objects from 3D scene reconstructions generated by methods like 3D Gaussian Splatting. This approach addresses limitations in existing techniques by explic…
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Researchers develop pHVI-ISPNet for improved night photography rendering
Researchers have developed a new framework called pHVI-ISPNet to improve night photography rendering by addressing perceptual distortions and color bias. This RAW-to-RGB model utilizes specific refinements like RAW-doma…
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Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs
Researchers have developed a novel 'Online Architecture' strategy for Convolutional Neural Networks (CNNs) that significantly enhances translation invariance. By strategically inserting Global Average Pooling (GAP) laye…