ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives
arxiv.org·13h
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We ran over 600 image generations to compare AI image models
latenitesoft.com·1h·
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Time-Warping Control: Taming Complex Systems with AI
dev.to·15h·
Discuss: DEV
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Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network
arxiv.org·13h
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Training GPT in Sheets
zalex.co·1h·
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FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
arxiv.org·13h
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Memory in AI Companions: Implementing Vector-Based Long-Term User State
nsfwcoders.com·11h·
Discuss: DEV
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Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
arxiv.org·13h
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Lesson 3 - Scene graph and transform
infinitecanvas.cc·1d
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NOAH: Benchmarking Narrative Prior driven Hallucination and Omission in Video Large Language Models
arxiv.org·13h
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Apple's LLM Breakthrough
xray.greyb.com·5h·
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Understanding AMD's FSR 4 Image Upscaler
woti.substack.com·22h·
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Thick practices for AI tools
lesswrong.com·5h
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🎨 Nano Banana 2: How We Generate Character-Consistent 4K Images in 10–30 Seconds
vibe.forem.com·5h·
Discuss: DEV
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DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
arxiv.org·1d
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ReMoD: Rethinking Modality Contribution in Multimodal Stance Detection via Dual Reasoning
arxiv.org·13h
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Mapping AI's brain reveals memory and reasoning are not located in the same place
techxplore.com·32m
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