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#16 – A Deep Learning Approach for Generalized Speech Animation

Disney Research による口パクアニメーション生成論文 “A Deep Learning Approach for Generalized Speech Animation” を向井が紹介します。

Disney Research による口パクアニメーション生成論文 “A Deep Learning Approach for Generalized Speech Animation” を向井が紹介します。

https://misreadingchat.files.wordpress.com/2018/06/ep16.mp3
  • A Deep Learning Approach for Generalized Speech Animation – Disney Research
  • Active Appearance Model [PDF]

Follow up

  • Disney Research
  • SIGGRAPH 2018
  • Kinuko Yasuda on Twitter: “#misreading 今回は levelDB だ!昔少し調べたのと使ってる側の話を割と聞くので、軽くコメント。Client側でこの設計でいいのか?→普通に制約になり得る。メモリに入り切らない変更(大量のindex一括更新など)はatomicにできないし、そもそもメモリを食う。

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投稿者 Jun Mukai投稿日: 2018-06-122019-08-01カテゴリー episodes

投稿ナビゲーション

前 過去の投稿: #15 – Neural Machine Translation by Jointly Learning to Align and Translate
次 次の投稿: #17 – Unikernels: Library Operating Systems for the Cloud

Backnumbers

  • #108: The Verse Calculus
  • #107: Simple Ideas That Changed Printing and Publishing
  • #106: Human-level play in the game of Diplomacy by combining language models with strategic reasoning
  • #105: Volcano – An Extensible and Parallel Query Evaluation System
  • #104: It’s Time to Replace TCP in the Datacenter
  • #103: GPU-Accelerated Path Rendering
  • #102: Do Developers Really Know How to Use Git Commands? A Large-scale Study Using Stack Overflow
  • #101: Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
  • #100 AMA!
  • #99.5 AMA?
  • #99: The Prusti Project: Formal Verification for Rust#99:
  • #98: Dynamo: Amazon’s Highly Available Key-value Store
  • #97: Using Lightweight Formal Methods to Validate a Key-Value Storage Node in Amazon S3
  • #96: Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
  • #95: CockroachDB: The Resilient Geo-Distributed SQL Database
  • #94: Mesos: A Platform for Fine-Grained Resource Sharing in the Data Cente
  • #93: SEQUEL: A structured English query language
  • #92: Software Development Waste
  • #91: Serverless in the Wild
  • #90: Evaluation of splittable pseudo-random generators
  • #89: Conflict-free Replicated Data Types
  • #88: A History of Haskell: being lazy with class
  • #87: From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers
  • #86: JavaScript: the first 20 years
  • #85: Continuous Profiling: Where Have All the Cycles Gone?
  • #84: Profiling a warehouse-scale computer
  • #83: Dynamic Instrumentation of Production Systems
  • #82: Glass: A New Media for a New Era?
  • #81: gprof: a Call Graph Execution Profiler
  • #80.5
  • #80: TrueSkill™ Ranking System
  • #79: Adversarial Examples Are Not Bugs, They Are Features
  • #78: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • #77: Orca: Differential Bug Localization in Large-Scale Services
  • #76: XPC: Architectural Support for Secure and Efficient Cross Process Call
  • #75: To Unify or Not to Unify: A Case Study on Unified Builds in WebKit
  • #74: FaceNet: A Unified Embedding for Face Recognition and Clustering
  • #73: Understanding Real-World Concurrency Bugs in Go
  • #72: How (and How Not) to Write a Good Systems Paper
  • #71: Machine Learning at Facebook: Understanding Inference at the Edge
  • #70: Reality Engine Graphics
  • #69: Bandana: Using Non-Volatile Memory for Storing Deep Learning Models
  • #68: Introduction to MCMC
  • #67: Towards Federated Learning at Scale: System Design
  • #66: The Rendering Equation
  • #65: Communication-Efficient Learning of Deep Networks from Decentralized Data
  • #64: Automating Chaos Experiments in Production
  • #63: Programming with Algebraic Effects and Handlers
  • #62 – A History Of Erlang
  • #61 – Spectre is Here to Stay
  • #60 – XGBoost: A Scalable Tree Boosting System
  • #59 – Do Developers Learn New Tools On The Toilet?
  • #58 – Gradient Boosting Decision Trees
  • #57 – Asynchronous Functional Reactive Programming for GUIs
  • #56 – Cloud Programming Simplified
  • #55 – Functional Reactive Programming from First Principles
  • #54 – Tales of the Tail
  • #53 – BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • #52 – Convolutional Color Constancy
  • #51 – Attention Is All You Need
  • #50 – Geodesic Discrete Global Grid Systems
  • #49 – Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code
  • #48 – Real-time Personalization using Embeddings for Search Ranking at Airbnb
  • #47 – Engineering the Servo Web Browser Engine using Rust
  • #46 – An Introduction to Neural Information Retrieval
  • #45 – Why Amazon Chose TLA +
  • #44 – Firecracker
  • #43 – Capsicum: practical capabilities for UNIX
  • #42 – kvm: the Linux Virtual Machine Monitor
  • #41 – IDRIS — Systems Programming Meets Full Dependent Types
  • #40
  • #39 – Service Fabric: A Distributed Platform for Building Microservices in the Cloud
  • #38 – Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
  • #37 – Synthetic Depth-of-Field with a Single-Camera Mobile Phone
  • #36 – BLeak: Automatically Debugging Memory Leaks in Web Applications
  • #35 – Darkroom: Compiling High-Level Image Processing Code into Hardware Pipelines
  • #34 – Trust and Protection in the Illinois Browser Operating System
  • #33 – Distinctive Image Features from Scale-Invariant Keypoints
  • #32 – Isolating Web Programs in Modern Browser Architectures
  • #31 – Big.Little
  • #30 – AddressSanitizer: A Fast Address Sanity Checker
  • #29 – Image Analogies and Image Style Transfer
  • #28 – Left-leaning Red-Black Trees
  • #27 – Julia: A Fresh Approach to Numerical Computing
  • #26 – Mixed Messages: Measuring Conformance and Non-Interference in TypeScript
  • #25 – Burst photography for high dynamic range and low-light imaging on mobile cameras
  • #24 – EMME: A Formal Tool for ECMAScript Memory Model Evaluation
  • #23 – Halide: Decoupling Algorithms from Schedules for High-Performance Image Processing
  • #22 – Bringing the Web up to Speed with WebAssembly
  • #21 – The Frankencamera
  • #20 – The Design and Implementation of Hyperupcalls
  • #19 – Light Field Rendering
  • #18 – Exploiting the DRAM Rowhammer Bug to Gain Kernel Privileges
  • #17 – Unikernels: Library Operating Systems for the Cloud
  • #16 – A Deep Learning Approach for Generalized Speech Animation
  • #15 – Neural Machine Translation by Jointly Learning to Align and Translate
  • #14 – LevelDB
  • #13 – HyperLogLog in Practice
  • #12 – Semantics and Complexity of GraphQL
  • PyTorch, Chainer and Forking
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