Text-to-Motion and AI Character Animation Quiz

Answers and explanations appear as you take the quiz.

1. What does a text-to-motion model actually generate?
   • A rendered video of a character moving
   • A sequence of skeletal poses over time
   • A textured 3D mesh of a new character
   • A script describing how an animator should move a rig
2. Which model supplied the text embeddings that steer the original Motion Diffusion Model?
   • CLIP
   • BERT only, fine-tuned on motion
   • A speech recognition model
   • No text model; MDM reads raw characters
3. HumanML3D, a key text-to-motion dataset, drew its clips largely from which source?
   • ImageNet photographs
   • YouTube dance videos only
   • The AMASS motion capture collection
   • Synthetic motions generated by a game engine
4. Why does it matter that MDM predicts the clean motion rather than the added noise at each step?
   • It makes the model run without a GPU
   • It removes the need for any training data
   • It lets the model output video directly
   • It allows geometric losses such as foot-contact and velocity penalties during training
5. How do token-based systems like T2M-GPT and MoMask generate motion?
   • By copying the nearest clip from a database
   • By compressing motion into discrete codes with VQ-VAE-style quantization and generating those codes like words
   • By simulating muscles with a physics engine
   • By tracing keypoints from a reference video
6. What is retargeting in AI animation pipelines?
   • Changing the text prompt to get a different motion
   • Removing jitter by averaging frames
   • Mapping generated motion onto a character rig with different bones, proportions and rest pose
   • Uploading motion to a cloud rendering service
7. What is foot sliding?
   • Feet skating along the ground when they should stay planted
   • A deliberate moonwalk effect added by the model
   • Feet disappearing from the rendered frame
   • A retargeting error that swaps left and right legs
8. Which sequence best describes how video-based AI motion capture works?
   • Scan the actor with lidar, then animate by hand
   • Ask a language model to describe the video, then run text-to-motion
   • Attach markers to a suit and triangulate them with many cameras
   • Detect 2D keypoints per frame, lift them to 3D, then smooth over time