nvdiffrec
Real-Time-Voice-Cloning
| nvdiffrec | Real-Time-Voice-Cloning | |
|---|---|---|
| 13 | 96 | |
| 2,053 | 50,815 | |
| 1.1% | - | |
| 3.2 | 0.0 | |
| 2 days ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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nvdiffrec
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[D] Found top conference papers using test data for validation.
It depends on which CV research you’re in. In NeRF view synthesis, it’s pretty common to use test sets as validation sets. This has been done in several papers, including oral papers.
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3D NeRF of a footstool
I think there came a paper recently nerf2mesh, which I still have to evaluate (but haven't found time yet). There's also https://github.com/NVlabs/nvdiffrec/. And there's cool easy-to-use research software like nerfstudio (at least if you compare it to a lot of the raw code releases from research papers).
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Fitting the texture from an image to the corresponding 3D model
For your use case, why is your model devoid of texture? You can try 3D scanning your desired object so that it comes with texture. Either that or use Nvidia's MoMA here to get your object from images.
- WHAT IS THE PROBLEM ???? HELP ME PLZ!!
- Blender animation augmented with AI
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[R] BUNGEENeRF: progressive neural radiance field for extreme multi-scale scene rendering
Have you seen this project: https://github.com/NVlabs/nvdiffrec (I haven't tried it). Also videos tend to have compression. If you can get images you'll get higher quality results with most photogrammetry software. Projects like meshroom are probably better for this if you have high quality pictures. There's a few articles that cover high quality scans that can help also.
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is NeRF photogrammetry? please don't call me old, but this technology, in my mind, does not fit the strict concept.
You can generate an accurate mesh from a NeRF: https://github.com/NVlabs/nvdiffrec, and measure from that.
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NeRF export options and pgrammetry application question
NERF specifically generates a radiance field, but there are research codes for turning that into a mesh (https://github.com/NVlabs/nvdiffrec) (not easy to use yet)
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[D] nvdiffrec setup
Hi, I'm not sure if this is the right place, but I was looking into seeing what the latest photo to model reconstruction looks like from here with NVIDIA (ArXiV paper is included there). There's a couple of neat examples, and after one dumb mistake setup was pretty easy. However, the meshes are not converging except very loosely when using the examples from the paper.
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nvdiffrec tutorial?
Hi everyone! I'm not sure this is the right place to ask, but I've been drooling over these cool ml and deep learning techniques showcased in videos. I was wondering if anyone could help me out in getting something like nvdiffrec to work with my own sample. https://github.com/NVlabs/nvdiffrec
Real-Time-Voice-Cloning
- FLaNK Stack Weekly 12 February 2024
- Voice Cloning
- Show HN: Real Time Voice Cloning – Instant DeepFake Audio
- Bu dakikadaki bahsedilen yapay zekayı bulamadım yardımcı olur musunuz?
- Alarming Rise of Voice Cloning Fraud Targeting the Elderly through AI
- Dark Brandon going hard
- Conselho do TRF-4 afasta juiz da Lava Jato
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What Photoshop Can't Do, DragGAN Can! See How! Paper Explained, Along with Additional Supplementary Video Footage
Oh maybe it is available: https://github.com/CorentinJ/Real-Time-Voice-Cloning
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Regarding recent posts about AI voice generation
I know this isn't the bulk of your argument, but if the concern is uploading, offline voice cloners have existed for years (albeit not as good as elevenlabs) but will presumably get far better in the years to come now that everyone has seen what's possible and as PC compute power continues to improve. https://github.com/CorentinJ/Real-Time-Voice-Cloning
- 'He Would Still Be Here': Man Dies by Suicide After Talking with AI Chatbot, Widow Says | The incident raises concerns about guardrails around quickly-proliferating conversational AI models.
What are some alternatives?
nvdiffrast - Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
differentiable_volumetric_rendering - This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
MockingBird - 🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)