This weekend in Generative Media
Disney Imagineering robots; China's training data rules; Google's genAI approach
You can keep your Musk Optimus terror bot, I want a Disney Imagineering robot (TechRadar).
China proposes blacklist of training data for generative AI models (ChannelNewsAsia)
Our responsible approach to building guardrails for generative AI (Google blog)
MotionDirector: Motion Customization of Text-to-Video Diffusion Models (project page)
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering (project page)
Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation (project page)
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model (project page). High quality, diverse and Janus-free Text-to-3D in 20 SECONDS.
LRM: Large Reconstruction Model for Single Image to 3D (project page). Create high-fidelity 3D object mesh from a single image in 5 SECONDS.
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion (project page)
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing (project page)
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions (NeurIPS 2023, project page)
3D animations for all, powered by AI (Anything World)
Realize your vision with AI like never before (vispunk.com)
Your masterpiece would look great on the big screen. Make it happen (Storia)
Cuebric is putting the full-power of generative AI into the hands of the world's most visionary filmmakers and content creators. Walter Schulz shared with us below how he could re-create the opening scene of Prometheus in Cuebric. (LinkedIn)
Create a promotional image or title screen for a popular mobile game. (X)
GPT-4V "Describe this image" 🔃 Dall-E 3 "Generate this image" Recursive loop (X)
3D Gaussian Splats use case? We changed the opening scene of 'The Shining' after 43 years😮 (X)