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RigAnything – Template-Free Autoregressive Rigging for Diverse 3D Assets
https://www.liuisabella.com/RigAnything
RigAnything was developed through a collaboration between UC San Diego, Adobe Research, and Hillbot Inc. It addresses one of 3D animation’s most persistent challenges: automatic rigging.
- Template-Free Autoregressive Rigging. A transformer-based model that sequentially generates skeletons without predefined templates, enabling automatic rigging across diverse 3D assets through probabilistic joint prediction and skinning weight assignment.
- Support Arbitrary Input Pose. Generates high-quality skeletons for shapes in any pose through online joint pose augmentation during training, eliminating the common rest-pose requirement of existing methods and enabling broader real-world applications.
- Fast Rigging Speed. Achieves 20x faster performance than existing template-based methods, completing rigging in under 2 seconds per shape.
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Skywork SkyReels – All-in-one open source AI video creation based on Hynyuan
https://github.com/SkyworkAI/SkyReels-V1
All-in-one AI platform for video creation, including voiceover, lipsync, SFX, and editing. One click turn text to video & image to video. Turns idea into stunning video in minutes. Check Pricing Details. Start For Free. All-In-One Platform.
SkyReels-V1 is purpose-built for AI short video production based on Hynyuan. It achieves cinematic-grade micro-expression performances with 33 nuanced facial expressions and 400+ natural body movements that can be freely combined. The model integrates film-quality lighting aesthetics, generating visually stunning compositions and textures through text-to-video or image-to-video conversion – outperforming all existing open-source models across key metrics.
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Shanhai based StepFun – Open source Step-Video-T2V
https://huggingface.co/stepfun-ai/stepvideo-t2v
The model generates videos up to 204 frames, using a high-compression Video-VAE (16×16 spatial, 8x temporal). It processes English and Chinese prompts via bilingual text encoders. A 3D full-attention DiT, trained with Flow Matching, denoises latent frames conditioned on text and timesteps. A video-based DPO further reduces artifacts, enhancing realism and smoothness.
FEATURED POSTS
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59 AI Filmmaking Tools For Your Workflow
https://curiousrefuge.com/blog/ai-filmmaking-tools-for-filmmakers
- Runway
- PikaLabs
- Pixverse (free)
- Haiper (free)
- Moonvalley (free)
- Morph Studio (free)
- SORA
- Google Veo
- Stable Video Diffusion (free)
- Leonardo
- Krea
- Kaiber
- Letz.AI
- Midjourney
- Ideogram
- DALL-E
- Firefly
- Stable Diffusion
- Google Imagen 3
- Polycam
- LTX Studio
- Simulon
- Elevenlabs
- Auphonic
- Adobe Enhance
- Adobe’s AI Rotoscoping
- Adobe Photoshop Generative Fill
- Canva Magic Brush
- Akool
- Topaz Labs
- Magnific.AI
- FreePik
- BigJPG
- LeiaPix
- Move AI
- Mootion
- Heygen
- Synthesia
- Chat GPT-4
- Claude 3
- Nolan AI
- Google Gemini
- Meta Llama 3
- Suno
- Udio
- Stable Audio
- Soundful
- Google MusicML
- Viggle
- SyncLabs
- Lalamu
- LensGo
- D-ID
- WonderStudio
- Cuebric
- Blockade Labs
- Chat GPT-4o
- Luma Dream Machine
- Pallaidium (free)
