From 24ccb6c9a154986988a73b97172adff2edd261fd Mon Sep 17 00:00:00 2001 From: Lunar Ring <78172771+lunarring@users.noreply.github.com> Date: Wed, 11 Jan 2023 13:02:49 +0100 Subject: [PATCH 1/2] Update README.md --- README.md | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d92334a..4e85970 100644 --- a/README.md +++ b/README.md @@ -136,7 +136,14 @@ lb.setup_branching(num_inference_steps, list_nmb_branches, list_injection_streng ## Perceptual aspects With latent blending, we can create transitions that appear to defy the laws of nature, yet appear completely natural and believable. The key is to surpress processing in our [dorsal visual stream](https://en.wikipedia.org/wiki/Two-streams_hypothesis#Dorsal_stream), which is achieved by avoiding motion in the transition. Without motion, our visual system has difficulties detecting the transition, leaving viewers with the illusion of a single, continuous image. However, when motion is introduced, the visual system can detect the transition and the viewer becomes aware of the transition, leading to a jarring effect. Therefore, best results will be achieved when optimizing the transition parameters, particularly the depth of the first injection. -# Future work -* Depth model -* Zooming etc. +# Coming soon... +- [ ] Huggingface / Colab +- [ ] Transitions with Depth model +- [ ] Zooming +- [ ] Iso-perceptual spacing for branches (=better transitions) + +Stay tuned on twitter: ```@j_stelzer``` + +Contact: ```stelzer@lunar-ring.ai``` (Johannes Stelzer) + From d6eb581876d6f18fb6d907ed8a1bd93c59c4a0d3 Mon Sep 17 00:00:00 2001 From: Lunar Ring <78172771+lunarring@users.noreply.github.com> Date: Wed, 11 Jan 2023 13:41:51 +0100 Subject: [PATCH 2/2] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 4e85970..bf3f076 100644 --- a/README.md +++ b/README.md @@ -137,7 +137,8 @@ lb.setup_branching(num_inference_steps, list_nmb_branches, list_injection_streng With latent blending, we can create transitions that appear to defy the laws of nature, yet appear completely natural and believable. The key is to surpress processing in our [dorsal visual stream](https://en.wikipedia.org/wiki/Two-streams_hypothesis#Dorsal_stream), which is achieved by avoiding motion in the transition. Without motion, our visual system has difficulties detecting the transition, leaving viewers with the illusion of a single, continuous image. However, when motion is introduced, the visual system can detect the transition and the viewer becomes aware of the transition, leading to a jarring effect. Therefore, best results will be achieved when optimizing the transition parameters, particularly the depth of the first injection. # Coming soon... -- [ ] Huggingface / Colab +- [ ] Huggingface / Colab Interface +- [ ] Interface for making longer videos with many prompts - [ ] Transitions with Depth model - [ ] Zooming - [ ] Iso-perceptual spacing for branches (=better transitions)