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LRM
Total Variation Optimization Layers for Computer Vision
Hyperbolic Image-Text Representations
Scaling Robot Learning with Semantically Imagined Experience
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
Diffusion Model with Perceptual Loss
2205.14929.pdf
The Limitations of Deep Learning in Adversarial Settings
Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
PhysDiff: Physics-Guided Human Motion Diffusion Model
HUGS: Human Gaussian Splats
ReconFusion: 3D Reconstruction with Diffusion Priors
HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
3D Human Avatar Digitization from a Single Image
High-Fidelity Clothed Avatar Reconstruction from a Single Image
pixelSplat
USING HUMAN FEEDBACK TO FINE-TUNE DIFFUSION MODELS WITHOUT ANY REWARD MODEL
TRAINING DIFFUSION MODELS WITH REINFORCEMENT LEARNING
PhysDiff: Physics-Guided Human Motion Diffusion Model
Stability AI
Generative Image Dynamics
2D Gaussian Splatting
harvardlds.org/wp-content/uploads/2017/01/SpelkeKinzler07-1.pdf
[2302.07121] Universal Guidance for Diffusion Models
Video Language Planning
ERCEIVER-ACTOR: A Multi-Task Transformer for Robotic Manipulation
RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion
Bullet Real-Time Physics Simulation | Home of Bullet and PyBullet: physics simulation for games, visual effects, robotics and reinforcement learning.
[1910.00935] DiffTaichi: Differentiable Programming for Physical Simulation
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
proceedings.mlr.press/v202/ma23a/ma23a.pdf
openaccess.thecvf.com/content/ICCV2023/papers/Li_Your_Diffusion_Model_is_Secretly_a_Zero-Shot_Classifier_ICCV_2023_paper.pdf
ALIGNING TEXT-TO-IMAGE DIFFUSION MODELS WITH REWARD BACKPROPAGATION
Inferring Forces and Learning Human Utilities From Videos
Physics-based differentiable rendering | ACM SIGGRAPH 2020 Courses
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
TossingBot: Learning to Throw Arbitrary Objects with Residual Physic
On the Learnability of Physical Concepts: Can a Neural Network Understand What’s Real?
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Relation Rectification in Diffusion Model
Physics-Informed Diffusion Models
PIE NERF
Generative Image Dynamics
yangchanghee.github.io/Person-in-Place_page/#method
Total Selfie: Generating Full-Body Selfies
[2308.14740] Total Selfie: Generating Full-Body Selfies
Netflix
AI technology stack: Platforms, applications and model types - AI Governance Professional training