Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
paper page: https://t.co/Sk3d7Ow1xs
present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D meshes generation from a single unposed image in the wild using both2D and 3D priors. In the first stage, we optimize a neural radiance field to produce a coarse geometry. In the second stage, we adopt a memory-efficient differentiable mesh representation to yield a high-resolution mesh with a visually appealing texture. In both stages, the 3D content is learned through reference view supervision and novel views guided by a combination of 2D and 3D diffusion priors. We introduce a single trade-off parameter between the 2D and 3D priors to control exploration (more imaginative) and exploitation (more precise) of the generated geometry. Additionally, we employ textual inversion and monocular depth regularization to encourage consistent appearances across views and to prevent degenerate solutions, respectively. Magic123 demonstrates a significant improvement over previous image-to-3D techniques, as validated through extensive experiments on synthetic benchmarks and diverse real-world images.
BREAKING: Google opens its Generative AI Platform to all.
Imagine unlocking the power of machine learning for everyone
Businesses can now integrate Google's Vertex AI into their applications.
Here's what you need to know:
Bayesian stats is not the only "mindset", there are also frequentist stats, causal inference, supervised machine learning, and many more.
That's why I wrote Modeling Mindsets. To understand the big principles and not get lost in the details.
https://t.co/CVLRWJV7R7
🤖LangChain x AutoGPT🤖
First BabyAGI, then CAMEL, then generative agents, now finally AutoGPT...
Implementing the core AutoGPT prompt + agent executor in LangChain primitives (to allow for swapping between models, vectorstores, tools, etc)
Notebook: https://t.co/2hag1gISd8
This is quite the paper!
It gave 25 AI agents motivations & memory, and put them in a simulated town.
Not only did they engage in complex behavior (including throwing a Valentine’s Day party) but the actions were rated more human than humans roleplaying. https://t.co/G7oJW1S3na
Stable Diffusion isn't just good for images... it can also be used for music generation! 🎵
Riffusion is a version of Stable Diffusion fine-tuned on spectrograms, allowing for text-to-music generation! 🔥
Try it out ↓
I don't have any private info, but would wildly guess that AI music seems like it ought to fall soon, particularly when it comes to generating 100 hours of generic epic music and the like.
2. Refactoring by Martin Fowler
Overtime programs become "inefficient and hard to maintain and extend".
Which is why refactoring is just as important a skill as coding itself. This book covers the process in depth.
https://t.co/l68ofTLDSy
Fire your designer — Use @canva
Fire your developer — Use @carrd
Fire your sales rep — Use @gumroad
Fire your copywriter— Use @copy_ai
Fire your manager — Use @NotionHQ
Fire your marketing guy — Use @buffer
It's 2022 — why are you still hiring people?