Context Guided Transformer Entropy Modeling for Video Compression
arxiv.org·1d
🧠Learned Codecs
Real-time neural video codec – 100 FPS 1080p and 4K videos
github.com·1d·
Discuss: Hacker News
🧠Learned Codecs
🎭 Compressing Human Faces with VAE vs VQ-VAE — A Deep Dive into Autoencoder Design
dev.to·19h·
Discuss: DEV
📊Quantization
NeuralMorse – Reinventing Morse Code with Neural Networks
masatohagiwara.net·18h·
Discuss: Hacker News
📝Text Compression
Why Computer Science Is No Good, Redux
cacm.acm.org·19h
🎯Performance Proofs
GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing
arxiv.org·8h
📟Terminal Physics
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
arxiv.org·8h
🧠Learned Codecs
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·8h
🤖Advanced OCR
A Histogram Is a Generative Model
jonathandinu.com·1d·
Discuss: Hacker News
🎧Learned Audio
LLM Inflation
tratt.net·2h·
Discuss: Hacker News
📊Compression Proofs
LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs
towardsdatascience.com·20h
🌊Streaming Algorithms
Pixel data from encoders to decoders
developer.mozilla.org·2d
🖼️JPEG XL
Attention was never enough: Tracing the rise of hybrid LLMs
ai21.com·1d·
Discuss: Hacker News
📼Tape Combinators
Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models
arxiv.org·8h
📊Learned Metrics
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·8h
🌀Riemannian Computing
E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation
arxiv.org·1d
📊Learned Metrics
Fast Algorithm for Moving Sound Source
arxiv.org·8h
👁️Perceptual Coding
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
arxiv.org·1d
🧠Machine Learning
Kitten TTS: 25MB CPU-Only, Open-Source Voice Model
algogist.com·11h·
Discuss: Hacker News
🎧Learned Audio